Artificial Intelligence Certification Course in Delhi

AI Mastery: GenAI, Computer Vison & Deep Learning

317
Hours

3.5 Months

Learning Modes

Courses Included

AI Engineering

500 Hours

56 Classes

Data Science using R

500 Hours

56 Classes

Data Science 360 Course

500 Hours

56 Classes

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

Program Fees

Overview

Applied AI, or Applied Artificial Intelligence, applies AI technologies practically to solve real-world problems across various industries. Unlike theoretical AI, which develops new algorithms and models, applied AI implements and integrates these technologies into existing systems to enhance performance, efficiency, and decision-making processes. Our AI course in Delhi will prepare you for practical world problems with excellence in theoretical concepts.

Why Opt for AI course in Delhi

AI is the skill of the future, and India is taking charge of AI adoption and innovation. Applied AI in India is experiencing rapid growth and adoption across various sectors, driven by the increasing demand for AI technologies and the government’s support for digital transformation. Hence, being at the heart of the country and among the top 20 cities with AI talent worldwide, Delhi invests in AI research and development, creating a vibrant ecosystem of AI startups and attracting top talent worldwide. Delhi is quickly becoming a leading hub for AI innovation in India.

Opting for an artificial intelligence course in Delhi can be a strategic decision for anyone looking to build a successful career in AI. The combination of high industry demand, practical skills development, strong educational infrastructure, and career advancement opportunities makes it an attractive choice. Additionally, the strategic location and supportive ecosystem further enhance the benefits of pursuing such a course in Delhi.

What is Applied AI?

Applied AI applies technology from the theory to the real world. It uses AI to simplify everyday tasks, like improving customer service with chatbots, predicting the weather, or automating routine business tasks.

Applied AI vs. AI

In essence, AI explores the theoretical aspects and potential of intelligent systems, while Applied AI focuses on deploying the technologies to achieve tangible results in practical settings.

Applied AI focuses on implementing AI technologies in real-world scenarios to solve practical problems and improve processes across various industries. It emphasizes practical applications and integration into existing systems.

AI (Artificial Intelligence) is a broader field that includes the development of algorithms, models, and theories to enable machines to perform tasks that typically require human intelligence, such as learning, reasoning, and problem-solving.

Understanding the difference between Applied AI and general AI is crucial because technology needs practical applications to be valuable. Simply put, AI must be utilized effectively to make a real impact.

With our AI course in Delhi, you will be equipped with the skills to apply technical knowledge to solve real business problems effectively, ultimately understanding and utilizing AI’s full potential.

Why Learn AI with AnalytixLabs?

Our best AI course in Delhi is meticulously crafted to equip students for future challenges, covering fundamental concepts to establish a robust foundation aligned with core principles. Developed by industry experts with extensive experience, this course prioritizes hands-on learning to tackle real-world business challenges effectively.

Its comprehensive educational approach facilitates seamless navigation of this dynamic field, empowering you to integrate core tools with practical know-how and apply them to drive business decisions.

Our best AI course in Delhi focuses on three primary learning objectives.

Mastering Essential Tools and Attention to Detail: Our curriculum begins with foundational blocks in data science and analytics, mathematics, and statistics. Subsequently, you’ll delve into computer vision and language models, ML Ops and cloud deployment, data science with Python, Statistics, and predictive modeling, followed by Python and NLP machine learning. In this manner, each section is systematically introduced, allowing ample opportunity to acquire a thorough understanding before moving on.
Equipping You with Essential Skills: In our AI course in Delhi, we teach the best technical skills and emphasize soft skills like communication, critical thinking, and problem-solving. Additionally, you will enhance your ability to adapt to new technologies and methodologies, ensuring you remain updated and relevant in the field.
Mastering the AI Profession: Aimed at transforming you into an expert, our online artificial intelligence course in Delhi focuses on mastering advanced machine learning and deep learning concepts, excellence in various skills and tools, and empowerment in driving smart, data-driven decision-making within your organization.

Artificial Intelligence Course Syllabus in Delhi

We offer one of the best artificial intelligence courses in India. Our certification course provides a pathway into the Artificial Intelligence domain, equipping you with highly valuable skills using key tools such as Python and Numpy and core concepts like regression, ML Ops, NLP, computer vision, language models, and generative AI.

Our curriculum is strategically divided into nine sections, each defining a milestone towards mastering the concepts of Applied AI. It is also streamlined in an order perfect for understanding each founding block before taking advanced concepts head-on. Below is an overview of our curriculum and learning blocks.

Module 1: Generative AI & No-code 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

AI challenges: Bias, hallucination, privacy & security issues

Responsible AI principles: Fairness, Accountability, Transparency, Explainability
Global AI Ethics Frameworks
Safe & Responsible usage
Responsible AI: Guardrails

Module 2: Applied AI: Agentic AI systems using Python

Python for AI & Analytics

Essentials of Python Programming
Data Types & Operators
Data Structures
In-Built Functions & Methods
Conditional & Control Flow Statements
User Defined Functions, Classes
Exception Handling
Python Packages for Data Analytics

Python Foundations for AI

Setting up the development environment
Installing and configuring tools like VS CODE, JUPYTERLAB, 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 overview
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

Module 3: Advanced AI: 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

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Who should do the AI course?

This course is specifically designed for:

AI/ML Career Aspirants – Build a complete skill set from Generative AI to Computer Vision & Reinforcement Learning.
Working Professionals & Data Practitioners – Upskill to applied AI with hands-on python programming , deployment, and advanced systems.
Researchers & Enthusiasts – Explore cutting-edge applications of agentic AI, deep RL, and CV.
SMBs & Tech Innovators – Leverage scalable AI approaches (from no-code to advanced) without heavy R&D costs.

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

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) –

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:

Communication Skills: Effective expression, active listening, and empathy for collaboration.
Critical Thinking: Analyzing, evaluating, and synthesizing information for reasoned decisions.
Problem-Solving: Identifying, analyzing, and resolving challenges with creative solutions.
Attention to Detail: Thoroughness and precision for accuracy and quality.
Time Management: Prioritizing, scheduling, and meeting deadlines efficiently.
Adaptability: 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:

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.

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.

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.

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.

₹ 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 installments
0% Interest EMI – Pay in Easy Installments (though education financing partners)
Cost-effective courses with high ROI, making it worth every penny you invest.

₹ 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 installments
0% Interest EMI – Pay in Easy Installments (though education financing partners)
Cost-effective courses with high ROI, making it worth every penny you invest.

₹ 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 installments
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: 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: 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: 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: 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: 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.

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.

Learn more about our Job Guarantee Program: https://www.analytixlabs.co.in/placements/

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

Artificial Intelligence Course 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.

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.

In our Applied AI 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.

₹ 58,000 + taxes

Fees payable in installments
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 Details

AnalytixLabs certifications are highly regarded in the industry due to our extensive domain expertise. As India’s leading Data Science and AI institute, we must maintain the integrity of our certification process.

Certification will be granted only if the specified requirements within the course timelines are met, which include completing case studies and multiple-choice questions (MCQs), among others. Each candidate will have two attempts to pass each assessment.

We aim to provide trainees with essential hands-on experience to prepare them for industry challenges.

Certification must be secured within one year of course registration.

Full Stack AI Course with Placement Support

Continuous Career Support

Candidates trained by us are working in leading companies…

Student Journey Highlights: A Peek

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.

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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.

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.

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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Artificial Intelligence Certification Course in Delhi

21 June

29 Mar

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08 Nov

28 Sept

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AI Engineering

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Data Science 360 Course

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Overview

Why Opt for AI course in Delhi

What is Applied AI?

Applied AI vs. AI

Why Learn AI with AnalytixLabs?

Artificial Intelligence Course Syllabus in Delhi

Artificial Intelligence Course Syllabus in Delhi

Module 1: Generative AI & No-code Agentic AI

Module 2: Applied AI: Agentic AI systems using Python

Module 3: Advanced AI: Computer Vision & Reinforcement Learning

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Applied Artificial Intelligence Course Eligibility in Delhi

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Capstone Projects Included in The Course Module

Assignments included:

Capstone Projects Included:

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AI Course in Delhi – Learning Methodology

Artificial Intelligence Course Fees in Delhi

Learning Benefits with AnalytixLabs

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Artificial Intelligence Course in Delhi – Learning Methodology

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Full Stack AI Course with Placement Support

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Candidates trained by us are working in leading companies…

What Students Say About Us?

Piyush Ganar, Class of 2012 IIM Ahmedabad

(Director of Operations, Kenty.AI)

Raajeev Kumar Sahu

(Senior Manager – Data Science, FinTech Startup)

Sumit Asthana

(Assistant Manager, Senior Data Scientist)

Surbhi Sultania

(Analytics Manager, Mastercard Data & Services)

Vibhu Gautam

(Professor of Practice – Computer Science, UPES)

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