Artificial Intelligence Certification Course in Delhi
AI Mastery: GenAI, Computer Vison & Deep Learning
317
Hours
3.5 Months
*TIH Partnerships via Edzor CAITE
19 July
Interactive Live Online
29 Mar
Gurgaon
08 Nov
Noida
08 Nov
Gurgaon
28 Sept
Noida
Learning Modes

Classroom Sessions
INR 86,440/-*
(Pay in Easy Installments)

Interactive Live Online
INR 77,000/-*
(Pay in Easy Installments)

Blended eLearning
INR 71,100/-*
(Pay in Easy Installments)
Courses Included
Artificial Intelligence Engineering
₹ 20000/-
Artificial Intelligence Engineering
₹ 20000/-
Artificial Intelligence Engineering
₹ 20000/-
₹ 65000/-
₹ 48000*/-
Optional Course
Data Science using R
₹ 20,000
₹ 4000/-
Learning Modes

Interactive Live Online
INR 80,240/-*
(Pay in Easy Installments)
INR 68,440/-*
(Pay in Easy Installments)

Blended eLearning
INR 70,800/-*
(Pay in Easy Installments)
INR 53,100/-*
(Pay in Easy Installments)
Program Fees

(Program fees starts from)
INR 70,800/-*
(Program fees starts from)
INR 53,100/-*
Overview

105 Hours Live Training
+ 35 Hours e-learning

Self Study & Practice
Projects & Assignments

Assessments & Projects
19 Hours
Our FullStack Applied AI Course builds a range that employers are seeking desperately: from no-code agentic workflows to Python-built, production-grade AI systems, and projects that align with how NCR teams are hiring. Master the right AI skills that are taking center stage in the Delhi NCR region, because there is no other place that is more rewarding than this.Â
The timing is the other half of it. Across Gurugram’s Cyber City and the Noida corridors, the roles opening up now ask for generative AI, agentic systems, and deployment skills, the exact gap most candidates have not closed yet. That gap is your opening. It stays open only until everyone else closes it too.
This FullStack Applied AI course bridges this gap and takes you from AI foundations to deployed, agentic AI applications in just 3.5 months.Â
This is not a theory-first course. You start with generative AI and no-code agentic workflows, move into building LLM-powered applications in Python, and finish with advanced computer vision and reinforcement learning. Along the way you work with the tools teams actually use in production: LangChain, LangGraph, CrewAI, RAG pipelines, Hugging Face, and deployment stacks like FastAPI and Streamlit.
The program runs across 105 hours of live training and 35 hours of e-learning, with a project-and-assessment track built around real business problems rather than toy datasets. It carries a TIH at IIT Patna (Vishlesan I-HUB Foundation) knowledge partner certification, with guest lectures from TIH-associated experts layered on top of the core curriculum.
The curriculum runs in three connected stages.
- You first build your foundation in generative AI, prompt engineering, large language models, and no-code agentic automation using tools like Zapier, n8n, and Make.
- Then you move into applied agentic AI with Python: fine-tuning, multimodal LLMs, vector databases and RAG, autonomous multi-agent systems, and the Model Context Protocol.
- Last is a self-paced advanced module covering computer vision and reinforcement learning.
By the end, you will have built and deployed AI agents, LLM applications, and computer vision models, with a portfolio of capstone projects to take into interviews.
Generative AI & Nocode Agentic AI
AI Foundations
- AI vs. Automation vs. Analytics
- AI, Machine Learning (ML), Deep Learning (DL) – differences & connections
- Narrow AI vs. General AI vs. Super AI
- Core AI applications (NLP, CV, Robotics, Predictive Analytics)
Generative AI Basics
- Traditional AI vs. Gen AI
- Every day, GenAI applications
- How does GenAI work?
- Key models (GPT, Claude, Gemini, LLaMA)
- Text generation & completion techniques
- Prompt Engineering basics: role, task, context
- Core Prompting Tasks (Text generation & completion, Summarization (short & detailed), Rewriting in different tones/styles)
- Prompt Structures (instructional, role-based)
- Prompting Techniques (Zero-shot prompting, Few-shot prompting, Chain of Thought (CoT) prompting
- Role Prompting, Multi-turn interactions (context retention), etc..
- Limitations of prompting
- Evaluating GenAI output quality
Large Language Models (LLMs): How They Work
- Introduction to transformers
- LLMs vs. SLMs
- Popular LLMs (GPT, Claude, Gemini, LLaMA) – Overview – Strengths & Limitations
- Introduction to Embeddings
Introduction to Agentic AI
- No-code AI overview
- Intro to workflow automation tools
- Introduction to Zapier basics (triggers & actions), n8n workflow design, Make.com integrations
- AI-powered productivity with Notion AI for task automation & summarization, Airtable for data storage & automation, Glide for mobile app prototyping, etc.
- Design & Storytelling Tools
- Integrating AI into everyday workflows – Linking AI workflows with business processes
- Prototyping with no-code/low-code tools
What is an AI Agent? How it differs from chatbots
- Agentic AI vs. AI Agents
- Key components of Agentic AI: memory, planning, tool use, autonomy
- AI Orchestration with no-code tools
- Agent frameworks (LangChain, AutoGen, CrewAI – overview)
AI challenges: Bias, hallucination, privacy & security issues
- Responsible AI principles: Fairness, Accountability, Transparency, Explainability
- Global AI Ethics Frameworks
- Safe & Responsible usage
- Responsible AI: Guardrails
Applied Agentic AI (Agentic AI Systems using Python)
Setting up the development environment
- Installing and configuring tools like VS CODE, JUPYTER LAB, GitHub
- Best practice for managing dependencies and optimizing the workspace
- Numpy & Pandas for AI workflows
- Functions & Classes in Python
- Working with APIs (REST APIs, JSON handling, requests library)
Transformers & Fine-Tuning
- Transformers Architecture Basics(Introduction, attention, multihead attention, encoder-decoder with context)
- The Main Idea behind the Transformer
- Coding self-attention in Pytorch
- Self-attention and Masked Self-attention
- Hugging Face Transformers basics
- Pre-trained vs fine-tuned models
- Fine-tuning pre-trained models (BERT, GPT-style)
- Parameter-efficient fine-tuning (PEFT, LoRA, adapters)
GPT from Scratch
- Language modeling concepts
- Tokenization & embeddings
- Implementing a simple GPT model step by step
- Training with a toy dataset
- Training loop & loss function
Multi-Modal LLMs
- Text-to-Image models (Stable Diffusion, DALL·E)
- Image-to-text models (BLIP, CLIP, Flamingo)
- Text-to-Speech and
- Speech-to-Text APIs
- Speech-to-text (Whisper)
- Combining modalities (vision + text)
- Multi-modal pipelines (text+image, text+audio)
LLM Prompting & LangChain Basics
- LLM Wrappers & APIs
- Prompt engineering strategies
- LangChain components: Memory, Tools, Chains, Agents
- LangChain wrappers and memory
- Orchestrating LLM workflows
- Building basic agents
Vector Databases & RAG (Retrieval-Augmented Generation)
- Introduction to embeddings (SBERT, OpenAI, Cohere)
- Vector embeddings and similarity search
- FAISS & Pinecone, Weaviate for vector search
- Chunking & indexing documents
- Building RAG(Retrieval-Augmented Generation) pipelines
- Integrating Fusion & Re-ranking (Practical Sketch)
Autonomous Agents (Agentic AI)
- Introduction to LLM Agent Systems
- CrewAI & AutoGen frameworks
- Multi-agent coordination
- Task decomposition & delegation
- Building workflow-driven AI agents
- Tools, memory, reasoning
- Deployment & Use Cases
LangGraph & Model Context Protocols (MCP)
- LangGraph introduction
- Designing agent workflows with graphs
- State management in multi-agent systems
- MCP for standardized context sharing
- Future of agentic AI ecosystems
- Agent to Agent Protocols (A2A)
Testing & Evaluating LLM Apps/outputs (metrics, hallucination checks & frameworks)
- Monitoring & debugging with LangSmith
- App deployment with Streamlit, Gradio
- API deployment with FastAPI
Advanced AI (Self Paced)
Computer Vision & Reinforcement Learning
- Introduction to AI & Deep Learning (AI)
- Artificial Neural Network
- Introduction to Cloud Keras, Pytorch
- Computer Vision & Applications
- Convolution Neural Nets – Architecture – Implémentation
- Popular ImageNet models & Transfer Learning
- E2E Custom Data training framework in Pytorch
- Computer Vision – Object Detection, Encoders
- Reinforcement Learning
Request a Call back
Applied Artificial Intelligence Course Eligibility in Delhi
Individuals with varying technical or quantitative expertise, spanning fields like engineering, mathematics, statistics, and business management, aspire to elevate their proficiency in advanced analytics, artificial intelligence (AI), and machine learning (ML). They aim to excel in applying these cutting-edge technologies to complex scenarios.
For those intrigued by a career in AI but lacking a technical or quantitative background, introductory courses in Analytics offer an ideal starting point, furnishing a sturdy groundwork.
Subsequently, advancing to specialized AI courses becomes feasible. Our curriculum is meticulously designed to progressively enhance your understanding and competencies, facilitating a seamless transition to more intricate subject matters.
Admission Process
AnalytixLabs has a personalized enrollment process for all courses. Interested individuals can express their interest via our website, email, chat, or phone. Upon showing interest in our AI certification course, a learning advisor will contact you within 24 to 48 hours.
Our consultant will review your background and aspirations to ensure the course fits your profile. They will also explore alternative pathways and consider your location, preferred batch date, and learning preferences.
We strive to personalize the optimal solution for you by understanding your expectations and providing comprehensive guidance on course details and career prospects. Upon acceptance of the admission fee, you can secure your place in the chosen course and batch.
Top Job Roles in Delhi
- AI Engineer
- Machine Learning Engineer
- Robotics Specialist
- Computer Vision Engineer
- Data Scientist
- AI-ML Specialist
Skills You Will Learn
AnalytixLab’s online AI course focuses on both technical and soft skills. We teach you all the popular and industry-relevant tools, though having pre-requisite knowledge will help you:
Technical Skills
The core technical skills that will provide you with a comprehensive learning experience include (but are not limited to) –
- MIS Reporting Analytics
- Data Visualization
- Data Mining & Analysis
- Data Blending & Manipulation
- Check your eligibility
- Large-Scale Analytics on Cloud
Utilize cloud computing platforms to manage, process, and analyze extensive datasets efficiently. Develop and deploy AI and machine learning models using cloud-native tools. Gain the expertise to design and implement scalable AI solutions on cloud platforms, enabling you to tackle challenges associated with big data effectively.
- Predictive Modelling using Neural Network
Master the art of building predictive models with neural networks capable of forecasting future stock prices or predicting categorical outcomes like types of objects. Acquire skills in training neural networks to predict numerical values and perform classifications across various domains, including transportation, botany, automotive, ornithology, furniture, and more.
- Image Processing Using Deep Learning Techniques
Learn to enhance images by identifying and removing extraneous noise while extracting relevant information. Leverage Convolutional Neural Networks (CNNs) to detect natural patterns in images, covering techniques such as image restoration, linear filtering, pixelation, Generative Adversarial Networks (GANs), independent component analysis, and template matching.
- Natural Language Processing & Generation (Chatbots)
Acquire a complete understanding of the three core pillars of Natural Language Processing (NLP): understanding, generation, and processing. Develop the expertise to train chatbots to interpret human inputs through NLP, comprehend query meanings, and generate contextually relevant responses using NLG. Explore the iterative process of conversational chatbots, including input gathering, NLU analysis, response formulation, and refining based on past interactions through machine learning algorithms.
- Deep Learning Modelling for AI Applications
Utilize deep learning to develop models that mimic the intelligence of humans across various tasks such as speech recognition, image classification, and predictive analytics. Learn the end-to-end process of developing deep learning models, including data preparation, model training, maintenance, and performance monitoring to ensure optimal accuracy and efficiency.
- Data Science Methods
Our online AI course explores various data science techniques essential for creating, validating, testing, and implementing AI models. Delve into classification, regression, pattern recognition, neural networks, predictive analytics, decision-making, inferential statistics, exploratory data analysis (EDA), data cleaning, and visualization.
- Supervised Learning Models
Machine learning models are divided into two categories: supervised and unsupervised. Understand the principles of supervised learning and its application in training algorithms using labeled datasets to make accurate predictions and identify patterns.
Gain insights into how supervised learning models can streamline complex model creation processes and enable accurate predictions across diverse domains such as healthcare, marketing, finance, and more.
- Unsupervised Learning Models
True to their name, unsupervised learning models operate without the guidance of labeled datasets. Instead, they autonomously unearth concealed patterns and insights within vast datasets. Particularly advantageous for handling extensive data collections, these models function independently and lack supervision. Yet, this autonomy also renders them unsuitable for direct application in regression or classification tasks due to the unpredictable nature of their outcomes.
Mastering these skills will allow you to work on applications like exploratory data analysis, customer segmentation, anomaly detection, big data visualization, and more.
Soft Skills You Will Learn
Soft skills are the cornerstone of success in many fields, and AI/ML engineering is no exception. While technical proficiency is essential, truly thriving AI specialists also excel in critical soft skills. These skills empower you to navigate AI’s dynamic and collaborative world effectively.
That’s why our artificial intelligence course in Delhi goes beyond just algorithms. We equip you with the following in-demand soft skills:
- Critical Thinking
- Effective communication
- Effective Time Management
- Collaboration and Adaptability
- Communication Skills:Â Effective expression, active listening, and empathy for collaboration.
- Critical Thinking:Â Analyzing, evaluating, and synthesizing information for reasoned decisions.
- Problem-Solving:Â Identifying, analyzing, and resolving challenges with creative solutions.
- Attention to Detail:Â Thoroughness and precision for accuracy and quality.
- Time Management:Â Prioritizing, scheduling, and meeting deadlines efficiently.
- Adaptability:Â Flexibility and responsiveness to changing circumstances.
Capstone Projects Included in The Course Module
Our AI course in Delhi focuses on the practical approach of being industry-ready with its extensive assignments and projects. They are designed to teach you the implementation of skills you learned with the course in realistic business challenges.
Assignments included:
- 10 short exercises on NumPy & Pandas
- 1 Assignment on basic Python
- 4 case studies on Pandas for data munging, descriptive & visual analysis
- 2 exercises for statistical analysis
- 3 Basic exercises (Excel, SQL & Tableau)
Assignments are essential to each module and are distributed throughout the course duration. To qualify for the certificate, you must complete and submit the assignments for review
Capstone Projects Included:
Our course module has 17 projects, and you must complete all the assigned projects to be eligible for the course completion certificate.
- Image classification for inventory management (AI DL)
- Machine Language Translation (French to English & Hindi to English)
- Stock price forecasting (Deep Learning)
- Image classification project (AI DL)
- Credit Card fraud detection (Deep Learning)
- Automated image captioning (AI DL)
- Age detection using images (AI DL)
- Toxic comments classification (Deep Learning)
- Image classification & localization (Using YOLO)
- Network intrusion detection (Supervised machine learning)
- Online job posting analysis (Text mining & NLP)
- Banking customer cluster (Unsupervised machine learning)
- Retail chain sales forecasting (multivariate time series)
- Predicting credit card spend (regression methods)
- E-commerce recommendation engine (MBA)
- Chatbot creation (Seq2seq Deep Learning)
- Bank reviews analysis (Text mining & NLP)
Programming Tools and Languages









Training Modes
AI Course in Delhi – Learning Methodology
AnalytixLabs is recognized as one of the top data science and analytics institutes in Delhi, India. Since 2011, we’ve welcomed data and AI enthusiasts from various backgrounds and industries, fostering a vibrant community of learners.
Our AI training Delhi prioritizes practical learning, offering an experiential environment tailored to propel your career forward.
We regularly update and refine our course curriculums to stay current with industry demands and emerging trends. We provide three flexible learning modes to suit diverse preferences: AI weekend courses, weekday sessions, and blended classroom options.
Students can choose from various learning modes, including classroom bootcamps, interactive live online sessions, and self-paced e-learning modules. Throughout the course, all students benefit from access to a cutting-edge learning system that is continually updated to meet industry standards.
In our Applied AI and ML training in Bangalore, we prioritize a personalized approach with small batch sizes and individualized counseling, fostering high dedication and personal attention.
The curriculum is designed to integrate practical exercises and real-world business datasets into practice assignments, ensuring that knowledge retention is comprehensive and practical.

Classroom & Bootcamp
An immersive, in-person learning experience designed to accelerate skill development through intensive, hands-on training and expert mentorship. It bridges the gap between theory and real-world application, equipping learners with the expertise and skills needed to succeed in today’s dynamic professional landscape.

Interactive Live Online
Blend the dynamic experience of traditional classroom with engaging, real-time interactive sessions, carefully tailored to meet the demand of busy schedules. This innovative approach ensures effective learning, fostering a deeper understanding and retention of knowledge.

Blended eLearning
Fuse the rich atmosphere of classroom instruction with the flexibility and accessibility of eLearning modules, meticulously integrated to accommodate learning preferences. This unique blend ensures an optimal learning experience, empowering participants to delve into subjects deeply.
Artificial Intelligence Course Fees in Delhi
AI course fees are often perceived as high, but our artificial intelligence engineering course fees are reasonable and in line with industry norms, ensuring accessibility for all. With AnalytixLabs, you can learn and master the skill set, with the course fee starting from just INR 71,100 + taxes.

Classroom Sessions
₹ 86,440/- including taxes
EMI starts @ 8,260
EMI Options
*Pay in easy EMIs starting at INR ₹6387 per month.
- Fees payable in up to 3 installment​s
- 0% Interest EMI – Pay in Easy Installments (though education financing partners)
- Cost-effective courses with high ROI, making it worth every penny you invest.

Interactive Live Online
₹ 77,000/- including taxes
EMI starts @ 8,260
EMI Options
*Pay in easy EMIs starting at INR ₹6387 per month.
- Fees payable in up to 3 installment​s
- 0% Interest EMI – Pay in Easy Installments (though education financing partners)
- Cost-effective courses with high ROI, making it worth every penny you invest.

Blended eLearning
₹ 71,100/- including taxes
EMI starts @ 8,260
EMI Options
*Pay in easy EMIs starting at INR ₹6387 per month.
- Fees payable in up to 3 installment​s
- 0% Interest EMI – Pay in Easy Installments (though education financing partners)
- Cost-effective courses with high ROI, making it worth every penny you invest.
Learning Benefits with AnalytixLabs
At AnalytixLabs, we focus on beyond theory, emphasizing the experiential learning approach. With placement assistance included. This program stands out as one of the best options for best AI courses in Delhi.
Industry-Tailored Curriculum:Â Our courses are meticulously crafted to cater to diverse career aspirations. Whether you’re aiming for a solid foundation in general data science, proficiency in machine learning techniques, or specialized industry knowledge, our programs are designed to keep you aligned with the dynamic demands of the industry.
Experienced Instructors:Â Our instructor team is led by seasoned data professionals, bringing invaluable practical insights. They seamlessly blend their real-world experiences with the course syllabus, offering learning experiences that transcend theoretical understanding.
Interactive Learning Approach:Â Hands-on learning lies at the heart of our teaching philosophy. Through immersive case studies, assignments, and projects, we help you develop the skills needed to tackle real-world data challenges effectively. Practical problem-solving becomes second nature, forming the core of our learning methodology.
Comprehensive Career Support:Â From refining your resume to honing your interview skills, we provide personalized career guidance every step of the way. Our instructors offer expert advice and support throughout the job search process, ensuring you’re well-equipped to make informed decisions about your career path.
Thriving Community:Â Join a vibrant community of data enthusiasts at AnalytixLabs, where aspiring and seasoned professionals come together to learn and grow. Engage with peers for real-time learning and implementation support, as both students and instructors actively foster a collaborative environment where your contributions are valued and celebrated.
Career Graph in Delhi
Delhi is emerging with AI opportunities, which are giving rise to many job opportunities. This city is not behind in the demand for skilled AI Engineers.
The career graph of an AI and ML Engineer in Delhi –
- Beginner – ₹6L – ₹11 Lakhs/Yr
- Mid-senior – ₹9,00,000 /yr Lakhs/Yr
- Senior –₹19L – 26 Lakhs/Yr
- Very Senior – 26+ Lakhs/Yr
The salary numbers are subjective to your experience and skills in Artificial Intelligence and Machine Learning.
AI Course in Delhi Certification Details
With our strong domain expertise, AnalytixLabs certifications are highly valued and widely respected across the industry. As India’s leading Data Science institute, we uphold a rigorous and credible certification process to ensure our students are thoroughly prepared for real-world challenges.
Certification is awarded only upon successful completion of all the stipulated course requirements, which include, but are not limited to, case studies, MCQs, and viva assessments—all to be completed within the defined timelines. Candidates are given two attempts per assessment, and the certification must be completed within one year of course enrollment.
Additionally, you have the opportunity to earn prestigious certifications through our esteemed global academic and industry partner:
E&ICT Academy, IIT Guwahati: Supported by the Ministry of Electronics and Information Technology, Government of India, this certification is delivered in collaboration with AnalytixLabs as the industry partner—bringing together strong academic rigor and practical relevance.
- Â
AI Course in Delhi with Placement Support
AnalytixLabs offers strong placement support as part of its Advanced Certifications in AI, Data Science, and Analytics. A dedicated team provides personalized career guidance and job assistance, aligning with each student’s educational background and prior work experience. This comprehensive support is aimed at helping students successfully launch or transition into careers in data science and analytics.

Placement Readiness Program
The Placement Readiness Program is a 6–8 week, industry-aligned module designed to give you a competitive edge after certification.
It goes beyond technical skills, offering expert guidance on resume building, interview coaching, and real-world simulations. With strong industry referrals, strategic job search planning, and personalized feedback, the program ensures you're not just prepared for the job market—you’re ready to stand out in it.

Diverse Job Opportunities
• Access to job opportunities through direct collaborations with organizations, reputed recruiters, and the extensive AnalytixLabs Alumni network.
• Many students receive multiple interview calls and see a significant boost in career prospects.
• Success, however, depends on a combination of the candidate’s dedication and the institute’s support. Active participation and timely course completion are essential for maximizing placement outcomes.

Continuous Career Support
Your journey with AnalytixLabs doesn’t end after completing the Placement Readiness Program. We offer ongoing placement support to ensure you stay on track until you achieve your career goals.
Our dedicated team continues to assist with job opportunities, interview preparation, and personalized guidance as long as you need it. Many of our students benefit from multiple interview calls and long-term career growth, thanks to the strong foundation and in-demand skills built during the course.
Learning Objectives
- Master AI Foundations
- Develop Prompting & No-Code AI Skills
- Build Applied AI Solutions with Python
- Gain Hands-On Experience in Computer Vision
- Understand Reinforcement Learning
- Design Integrated AI Systems
- Deploy & Evaluate AI Models
- Deliver Real-World Capstone Projects
Learning Outcomes
Graduates of the program will be able to:
- Communicate AI concepts to both technical and business audiences.
- Design prompts and no-code workflows for productivity and automation.
- Build and deploy LLM-based apps with LangChain, RAG, and multi-agent systems.
- Implement computer vision models for tasks like image classification, surveillance, or defect detection.
- Apply reinforcement learning for decision-making, optimization, and autonomous systems.
- Develop advanced AI prototypes — from chatbots to CV-enabled drones.
- Integrate AI safely and ethically into real-world workflows.
- Showcase an AI portfolio with capstone projects across Generative, Agentic, and Advanced AI.
Projects
- Objective: Build an AI assistant that helps with productivity using GenAI + No-Code Automation using tools like zappier, make or n8n etc..
- Problem Identification: Choose a real productivity pain point (e.g., too many emails, meeting overload, research notes etc..)
- Workflow Design: Build automation using Zapier/n8n to connect AI with apps (Notion, Google Docs, Slack).
- Chatbot Assistant: Use ChatGPT/Notion AI for contextual Question & answers.
- Interface Prototype: Build front-end in Glide/Tome AI.
- Final Presentation & Demo: Live demo + explanation of workflow + reflection on ethics
- Should automate at least 3 tasks (e.g., meeting notes → task assignment → daily summary email)
- End-to-end AI Agentic Workflow integrating multiple modules.
Assignments
- Add extra features: e.g., voice input, task prioritization, or reminders.
- Explore alternative integrations (Slack, WhatsApp bots).
- Document your workflow and share video demo
*The programme also includes additional modules designed to enhance your learning experience.
Download the brochure to view the complete course curriculum and module details.
How This AI Course Fits With Our Other Programs?
The Full Stack Applied AI Course is the broadest of our AI and data programs. If your goal is narrower, or you are earlier in your journey, one of these may fit better:
- Data Science Specialization course for end-to-end data science, statistics, and machine learning
- Agentic AI course to focus specifically on building autonomous AI agents
- Generative AI course for a focused track on LLMs, prompting, and generative applications
- Data Analytics course to build a foundation in analytics, visualization, and business problem-solving first
Each program has a distinct goal, though the curriculums intersect at points. Explore the individual curriculums to see which one maps to your career target.
Why Learn AI with AnalytixLabs?
AnalytixLabs has trained data, analytics, and AI professionals since 2011, and that experience shapes how this course is built. It is designed to be accessible whether you are a fresher, a working professional, or a career-switcher, starting from core concepts and building toward production-grade skills. We have constantly polished and revised our curriculums to address employer-to-professional skills gaps head-on, and train professionals to stay relevant, irrespective of the timelines.
This, like all our other courses, is crafted by practitioners putting the emphasis on application: you learn each tool in the context of the problem it solves, then apply it to business scenarios. Two objectives run through the program.
- To give you genuine command of the AI toolchain, progressing in a sequence that lets each concept settle before the next.
- To take you to a level where you can design, build, and deploy AI systems that help organizations make confident, data-driven decisions.
Who Should Do The AI Course?
This program is built for four kinds of learners:
- AI and Deep Learning career aspirants: If you are a fresher or switching into AI, you build a complete, job-ready skill set spanning generative AI, agentic AI systems, computer vision, and reinforcement learning, and you leave with multiple capstone projects to show in interviews and on your portfolio.
- Working professionals and data practitioners: Move from theory to production through hands-on Python projects covering LLM development and fine-tuning, agentic application development with LangChain, LangGraph, and CrewAI, RAG pipelines, and real-world deployment on FastAPI, Streamlit, and cloud platforms.
- Researchers and enthusiasts: Go deep on current agentic AI, including multi-agent orchestration with CrewAI, the Model Context Protocol (MCP), multimodal LLMs, transformer architectures built from scratch, and reinforcement learning techniques such as DQN, DDPG, and DPO.
- SMBs and tech innovators: Automate real business workflows with no-code and low-code tools like Zapier and n8n, then scale into custom Python-based AI systems as you outgrow no-code limits, without heavy upfront R&D investment.
Key Skills
- Understand the foundations of AI and Generative AI
- Master prompt engineering and prompting frameworks for real-world scenarios
- Automate workflows with no-code/low-code AI tools
- Design and deploy AI Agents for business and personal productivity
- Understand core AI & GenAI fundamentals
- Build LLM-powered apps with LangChain & Vector DBs
- Design & deploy AI agents using Python frameworks
- Work with practical enterprise use cases in automation
- Apply AI responsibly with awareness of ethical, bias, and governance considerations
- Computer Vision Applications
- Reinforcement Learning
Learning Outcomes
Graduates of the program will be able to:
- Communicate AI concepts to both technical and business audiences.
- Design prompts and no-code workflows for productivity and automation.
- Build and deploy LLM-based apps with LangChain, RAG, and multi-agent systems.
- Implement computer vision models for tasks like image classification, surveillance, or defect detection.
- Apply reinforcement learning for decision-making, optimization, and autonomous systems.
- Develop advanced AI prototypes — from chatbots to CV-enabled drones.
- Integrate AI safely and ethically into real-world workflows.
- Showcase an AI portfolio with capstone projects across Generative, Agentic, and Advanced AI.
Projects
- Objective: Build an AI assistant that helps with productivity using GenAI + No-Code Automation using tools like zappier, make or n8n etc..
- Problem Identification: Choose a real productivity pain point (e.g., too many emails, meeting overload, research notes etc..)
- Workflow Design: Build automation using Zapier/n8n to connect AI with apps (Notion, Google Docs, Slack).
- Chatbot Assistant: Use ChatGPT/Notion AI for contextual Question & answers.
- Interface Prototype: Build front-end in Glide/Tome AI.
- Final Presentation & Demo: Live demo + explanation of workflow + reflection on ethics
- Should automate at least 3 tasks (e.g., meeting notes → task assignment → daily summary email)
- End-to-end AI Agentic Workflow integrating multiple modules.
Assignments
- Add extra features: e.g., voice input, task prioritization, or reminders.
- Explore alternative integrations (Slack, WhatsApp bots).
- Document your workflow and share video demo
Artificial Intelligence Course Fees in Delhi & Learning Methodology
AnalytixLabs is voted one of the premium data science and analytics institutes in Delhi, India. We are home to data and AI enthusiasts from various fields, domains, and industries since 2011 and still counting. Our artificial intelligence certification course in Delhi focuses on practical learning. We offer an experiential learning environment that is designed to transform your career.
Our course curriculums are regularly updated and modified to align with the changing demands of the industries and new trends in the domain. We offer two distinct learning modes to meet our students’ needs and preferences.Â
We encourage students to choose from diverse learning modes, including interactive live online sessions, and self-paced e-learning modules. Throughout the course, all students are granted access to a cutting-edge learning system that is continuously updated to meet industry requirements.

Interactive Live Online
Blend classroom dynamics with engaging, real-time interactive Online sessions tailored to busy schedules. This innovative approach combines traditional and digital learning, ensuring effective knowledge retention. Experience deeper understanding through flexible, responsive instruction designed for modern learners.

Blended eLearning
Fuse the rich atmosphere of classroom instruction with the flexibility and accessibility of eLearning modules, meticulously integrated to accommodate learning preferences. This unique blend ensures an optimal learning experience, empowering participants to delve into subjects deeply.
Flexible Payment Options Across All Plans
Pay in up to 3 instalments · 0% Interest EMI via education financing partners · High-ROI programmes designed to deliver measurable career outcomes
In our Applied AIÂ training in Delhi, we prioritize a personalized approach with small batch sizes and individualized counseling, fostering high dedication and personal attention.
The curriculum is designed to integrate practical exercises and real-world business datasets into practice assignments, ensuring that knowledge retention is comprehensive and practical.
Artificial Intelligence Course Fees in Delhi
AI course fees are often perceived as high, but our artificial intelligence course fees are reasonable and in line with industry norms, ensuring accessibility for all.

Interactive Live Online with Blended eLearning
₹ 58,000 + taxes
Blend the dynamic experience of traditional classroom with engaging, real-time interactive sessions, carefully tailored to meet the demand of busy schedules. This innovative approach ensures effective learning, fostering a deeper understanding and retention of knowledge.
- Fees payable in installment​s
- 0% Interest EMI – Pay in Easy Installments (though education financing partners)
- Cost-effective courses with high ROI, making it worth every penny you invest.
AI Course Certification in Delhi
AnalytixLabs certifications are highly valued across the industry, backed by a rigorous assessment process including case studies, MCQs, and viva evaluations. Certification is awarded on successful completion of all requirements within the defined timelines. Candidates get two attempts per assessment, and certification must be completed within one year of enrolment.
You also earn credentials from our esteemed academic and industry partner:
- TIH Knowledge Partner Certification: TIH at IIT Patna
Certification under the IIT Patna Vishlesan I-HUB Foundation knowledge partner programme. This includes virtual guest lecture sessions by TIH-associated experts, supplementary to the regular curriculum.
Full Stack AI Course with Placement Support
At AnalytixLabs, we’re committed to helping you build successful careers in AI, Data Science, and Analytics. With comprehensive placement assistance integrated into our certification programs, our dedicated team of industry professionals offers personalized support based on your educational background and work experience. The placement process is designed to equip you with both opportunity and readiness—helping you transition seamlessly into the data-driven workforce.
Accelerate your career with our Job Guarantee Program:Â https://www.

Placement Readiness Program
The Placement Readiness Program is a 6–8 week, industry-aligned module designed to give you a competitive edge after certification.
It goes beyond technical skills, offering expert guidance on resume building, interview coaching, and real-world simulations. With strong industry referrals, strategic job search planning, and personalized feedback, the program ensures you're not just prepared for the job market—you’re ready to stand out in it.

Diverse Job Opportunities
• Access to job opportunities through direct collaborations with organizations, reputed recruiters, and the extensive AnalytixLabs Alumni network.
• Many students receive multiple interview calls and see a significant boost in career prospects.
• Success, however, depends on a combination of the candidate’s dedication and the institute’s support. Active participation and timely course completion are essential for maximizing placement outcomes.

Continuous Career Support
Your journey with AnalytixLabs doesn’t end after completing the Placement Readiness Program. We offer ongoing placement support to ensure you stay on track until you achieve your career goals.
Our dedicated team continues to assist with job opportunities, interview preparation, and personalized guidance as long as you need it. Many of our students benefit from multiple interview calls and long-term career growth, thanks to the strong foundation and in-demand skills built during the course.
What Students Say About Us?
True Stories, Transformative Career Experience
Piyush Ganar, Class of 2012 IIM Ahmedabad
(Director of Operations, Kenty.AI)
The course material is very easy to understand and the case studies were based on real time business problems. What I love the most about Sumeet and his team is that they never operated the institute like a typical commercial enterprise but more like a temple for learning. The gates of Alabs are always open for students for any kind of help and guidance. I would recommend ALabs to all.
Raajeev Kumar Sahu
(Senior Manager – Data Science, FinTech Startup)
I am from Advance Big Data Science course of Nov 2016 batch. The course was very structured and got real world problems to practice during the final case studies. It has also boosted my skills to start participating in the hackathons. Chandra sir was really helped me in preparing my resume right from very beginning of the course. Also, the placement team was very well organized and connected to industry leaders so that people get the right opportunity right after completing the course. I really recommend this institute, who are interested to transition into analytics field.
Sumit Asthana
(Assistant Manager, Senior Data Scientist)
The rapid pace at which the institutes are mushrooming all over India and Facebook newsfeed being inundated with thousands of options for analytics training, there are only handful of training institutes or rather say only couple of places where they prepare you to foray into rapidly growing analytics vertical. I have been working into legacy systems for past 5 years and was quite apprehensive if I will ever break into data science successfully.
Surbhi Sultania
(Analytics Manager, Mastercard Data & Services)
I took three months Big Data training from Analytix labs. Before joining this course, I had so many questions and doubts that will this course be worthy enough but later I found myself lucky to join this program. All trainers are amazing and always ready to help. Live examples and Case Studies are given which helps in understanding the concept and hands on practice.Not only they help in quality in depth knowledge transfer but also tend to give right direction to your career.
Vibhu Gautam
(Professor of Practice – Computer Science, UPES)
I had been associated with AnalytixLabs since 2012. This has been possible because of the mentor ship and support you get from faculty there specially from Sumeet and Chandra.I did a Business Analytic course with a focus on Marketing Analytic. The course deliver had been great and most importantly you never feel like you are part of formal classroom teaching. You are mentored there at every step, from Code Errors to Understanding Statistics behind it.Â
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Frequently Asked Questions
What are the job prospects after completing an AI Course in Delhi?
Completing the AI certification Delhi course opens the gates to many diverse and high-paying job roles in Delhi. Depending on the experience and skill set, there are many roles you can explore, which are –
AI ML Specialist
AI Specialist
Analytics Consultant
Data Science Specialist
Data Science Consultant
Data Scientist
Machine Learning Specialist
AI Engineer
Can someone with no prior coding experience take an AI course?
Our online artificial intelligence course is tailored for individuals without prior coding experience, although a basic understanding of coding is preferable. Whether you’re a programming novice or possess limited technical knowledge, our AI courses begin with the basics. You’ll progress through AI concepts gradually, building a robust foundation and mastering essential artificial intelligence and machine learning skills.
Our institute for AI courses in Delhi focuses on the holistic approach that fosters confidence and expertise in applying AI techniques to real-world challenges, enabling you to thrive in this dynamic and rapidly evolving field.
Which is the best AI institute in Delhi?
Being in the data science field for over a decade, AnalytixLabs has maintained its position of offering the best AI courses in Delhi. With our excellent clientele and most updated curriculum to prepare our students for the practical challenges in the field, we focus on empowering you to integrate core tools with practical know-how and apply them to drive business decisions.
We offer unique learning methodologies: Classroom and Bootcamp Learning, Classroom experience with ILT, and Classroom blended with eLearning, allows you to follow and learn from our experts developed curriculum at your own pace, making worth every penny you invest.
Can I do projects outside the course?
Yes, students are encouraged to work on projects outside of their coursework to strengthen their portfolios from a hiring perspective. However, it is advisable to first complete the mandatory coursework and projects to ensure a structured learning experience. This approach allows for a gradual increase in the difficulty level of your projects.
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What more advanced learning can I do after completing this course?
Once you’ve completed our AI certification course in Delhi, you can further expand your skills by opting for Executive Certification in Data Science & AI, offered in collaboration with the esteemed Future Skills Prime (FSP) a joint initiative of the Ministry of Electronics and Information Technology (MeitY), Government of India, and NASSCOM. These courses delve deeper into the intricacies of data science and machine learning, equipping you with advanced knowledge and techniques.
Do you provide online sessions for this AI program?
Given that many working professionals opt for our program, we recognize the constraints on their time. Therefore, you can begin your learning journey with us through our fully virtual training mode. Our online artificial intelligence course in Delhi NCR allows you to choose an AI weekend course or complete self-study, ensuring that you can tailor your learning experience to suit your schedule and preferences.
Do you provide any webinars or seminars related to this course?
In addition to offering our comprehensive AI certification Delhi course, AnalytixLabs is committed to fostering continuous learning and professional development for data enthusiasts. To complement our courses, we regularly organize free webinars and seminars where industry experts share valuable insights and trends in data science and artificial intelligence.
These webinars and seminars are invaluable platforms for participants to widen their knowledge horizons, stay updated on the latest industry developments, and engage in discussions with peers and experts. Topics covered range from emerging technologies and innovative applications to best practices and career advice in the data science domain.
What kind of projects are included in the course?
Our course module features an extensive collection of 17 capstone projects. These projects are meticulously designed to simulate real-world business problems, providing participants with a hands-on experience that closely mirrors the challenges encountered in the industry. They are –
Image classification for inventory management (AI DL)
Machine Language Translation (French to English & Hindi to English)
Stock price forecasting (Deep Learning)
Image classification project (AI DL)
Credit Card fraud detection (Deep Learning)
Automated image captioning (AI DL)
Age detection using images (AI DL)
Toxic comments classification (Deep Learning)
Image classification & localization (Using YOLO)
Network intrusion detection (Supervised machine learning)
Online job posting analysis (Text mining & NLP)
Banking customer cluster (Unsupervised machine learning)
How many batches can I attend if I am enrolling?
We offer the option to change batches for genuine medical or other valid reasons. There is a very nominal administrative fee associated with this, aimed solely at discouraging indiscipline and irregularity. Consistent effort and commitment are essential for any aspirant looking to start or transition into a rewarding career in AI.
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What is the salary range for certified professionals in Delhi?
Delhi is emerging as a hub for AI opportunities, fueling a surge in job openings for skilled AI Engineers. The demand for professionals in this field is robust, reflecting the city’s active involvement in leveraging AI technologies across various sectors.
After completion of our online artificial intelligence course in Delhi NCR, your career trajectory typically follows these salary ranges:
Beginner: ₹6L – ₹11L/yr
Mid-senior: ₹9,00,000 /yr
Senior: ₹19L – 26L /yr
It’s important to note that these salary figures depend on your experience level and proficiency in Artificial Intelligence and Machine Learning. As you gain more experience and expertise in the domain, your earning potential will likely increase accordingly.
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