Full Stack AI Course
Applied AI Mastery: GenAI, Computer Vison & Deep Learning
417 Hours
6 Months
15 Mar
Interactive Live Online
29 Mar
Gurgaon
21 June
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)
Applied AI Course Overview
Artificial Intelligence Engineering
₹ 20000/-
Artificial Intelligence Engineering
₹ 20000/-
Artificial Intelligence Engineering
₹ 20000/-
₹ 65000/-
₹ 48000*/-
Optional Course
Data Science using R
₹ 20,000
₹ 4000/-
Applied AI Course Overview
Applied AI Course Overview
105 Hours Live Training
+ 35 Hours e-learning
Self Study & Practice
Projects & Assignments
Assessments & Projects
19 Hours
The demand and need for comprehensive artificial intelligence courses are increasing exponentially. This is not surprising, given the deep-rooted applications of AI in our everyday lives.
Artificial Intelligence has long surpassed being a hyped term. It is a reality now, deeply integrated into everything we see, use, and hear. AI-enabled businesses are not just leading the way; they are revolutionizing how we live and work, offering smart solutions to many daily recurring tasks.
The impact of AI is so pervasive that it is almost impossible to imagine a world without it. As Google DeepMind now explores the possibilities of language models being manipulative and persuasive, there isn’t a better time to start learning AI and match the pace at which it is evolving. Don’t wait; start now and stay ahead of the curve.
Our Full Stack Applied AI Course is powered by deep industry knowledge and relevance, designed to accommodate market demands at any time. It offers the signature end-to-end mentor guidance through an industry-relevant, extensive, and future-ready curriculum.
About Artificial Intelligence Online Course
The Artificial Intelligence Certification Course offers a comprehensive learning module that teaches you the theories of AI and its applications in modern businesses. You will gradually transcend traditional AI into generative AI, an advanced AI that helps create content, images, audio, and more. We are proud and humbled to be recognized as the best artificial intelligence online course provider in India.
The evolution from traditional AI to generative AI represents a significant shift in artificial intelligence. Even as traditional AI plays an increasingly important role in practical applications, generative AI has the potential to unlock greater levels of innovation and human-like capabilities.
As these technologies advance, the synergy between traditional and generative AI approaches will likely shape the future landscape of artificial intelligence, ultimately enhancing our understanding of intelligence and creativity in machines.
Our Artificial Intelligence Online Course will teach you how it relates to other predominant fields, such as Data Science and Machine Learning. These interconnected fields leverage advanced algorithms and the power of data to drive decision-making and automate processes, with data science providing the foundational knowledge for AI technologies.
If you are wondering why you should do this course along with our certification courses in Data Science and Machine Learning, you must understand the difference between the concepts. Each course has a different goal and offering in terms of course modules, although, at some point, the modules intersect.
Explore the course curriculums to understand the learning objectives of each course.
Why Learn AI Online Course with AnalytixLabs?
AnalytixLabs, one of the best institutes for artificial intelligence and machine learning courses, has welcomed data enthusiasts from various fields with its industry-ready courses since 2011.
Our artificial intelligence course in India is designed to be accessible to all. It covers essential foundational blocks, enabling you to grasp core concepts effectively. Crafted by industry experts with years of experience, this course provides hands-on learning to equip you for practical challenges.
Our comprehensive educational approach makes navigating this dynamic field easier. With us, you will learn to integrate fundamental tools with practical skills and apply them effectively to drive business decisions quickly with the best AI courses in India.
Our artificial intelligence training in India fosters three primary learning objectives.
To help you master the essential tools and develop an eye for detail. You’ll begin by establishing a solid foundation in mathematics, statistics, and calculus before progressing to more advanced learning materials. The gradual learning process allows ample opportunity to grasp each section thoroughly before advancing to the next phase.
Master the artificial intelligence profession. Our artificial intelligence courses online aim to elevate you to expert status. You will develop machine learning and deep learning proficiency, master various skills and tools, and enable your organization to make smart, data-driven decisions confidently.
AI Certification Course Curriculum
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 РArchitecture РImpl̩mentation
- 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.
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
Job Roles to Explore
- AI Engineer
- Data Scientist
- Machine Learning Engineer
- AI-ML Specialist
- Robotics Specialist
- Data Science Consultant
- Computer Vision Engineer
- Analytics Consultant
Key Skills You Will Learn
This artificial intelligence certification course includes a comprehensive range of skills, including but not limited to the following.
- Large-Scale Analytics on Cloud
- Deep Learning Modelling for AI Applications
- Predictive Modelling using Neural Network
- Data Science Methods
- Image Processing Using Deep Learning Techniques
- Supervised Learning Models
- Natural Language Processing & Generation (Chatbots)
- Unsupervised Learning Models
- Check your eligibility
AI engineering Capstone Projects
Our artificial intelligence courses in India include multiple case studies and assignments for self-study and hands-on skills, in addition to multiple case studies.
Assignments
- 10 short exercises on NumPy & Pandas
- 4 case studies on Pandas for data munging, descriptive & visual analysis
- 3 Basic exercises (Excel, SQL & Tableau)
- 1 Assignment on basic Python
- 2 exercises for statistical analysis
Projects
- 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
Learning Methodologies
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
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 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.
AI Course 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.
How To Apply
select your course, complete the registration form, and make payment.
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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
Does an artificial intelligence course require coding?
Absolutely, coding skills are often a prerequisite for artificial intelligence (AI) courses. Nonetheless, our best artificial intelligence online course is uniquely designed to accommodate individuals without coding experience.
Whether you’re new to programming or have a limited technical background, our online courses for AI start from the fundamentals. You’ll learn AI concepts step by step, build a solid foundation, and acquire essential artificial intelligence and machine learning skills.
Through our comprehensive approach, you’ll gain confidence and proficiency in applying AI techniques to real-world challenges, empowering you to succeed in this rapidly evolving domain.
Do you provide guaranteed placement?
We offer both Placement Guarantee Programs and Placement Assistance Programs, depending on the course you choose.
1. Placement Guarantee Programs
Available for selected courses, these programs include a Job Guarantee, along with a Minimum Package Assurance and a 50% Fee Refund. If you are unable to secure a qualifying role with the assured minimum annual package within 6 months of certification (subject to meeting all stipulated eligibility criteria), 50% of your course fee will be refunded.
2. Placement Assistance Programs
These programs feature a comprehensive 2-month, industry-focused Placement Readiness Program (PRP). The PRP strengthens both technical and soft skills through structured interview preparation, practice assessments, case studies, simulated recruitment drives, and mock interviews with industry experts—equipping you with the confidence and capability to secure suitable career opportunities.
To check which programs are eligible for the Placement Guarantee and to review the complete Terms & Conditions, please visit: https://www.analytixlabs.co.in/placements/
What is the difference between artificial intelligence and machine learning?
Artificial intelligence (AI) and machine learning (ML) are closely intertwined concepts with distinct technological meanings and applications.
Artificial intelligence encompasses machines intelligently performing tasks, resembling various human cognitive functions like learning, problem-solving, and perception. It aims to develop systems that exhibit behaviors typically associated with human intelligence.
On the contrary, machine learning is a specialized area within artificial intelligence that focuses on developing algorithms that can help computers learn from data and make predictions or decisions autonomously.
ML algorithms leverage statistical techniques to improve their performance on specific tasks over time, learning from patterns in the data without explicit programming instructions.
AI is designed to build intelligent machines capable of simulating human behavior.
ML is a specific technique or approach within AI that involves developing algorithms to enable machines to learn from data and make decisions or predictions.
What academic background is essential to enroll in this artificial intelligence and machine learning course?
Individuals from various technical or quantitative disciplines, such as engineering, mathematics, statistics, and business management, aspire to strengthen their proficiency in advanced analytics, AI, and machine learning. After completing the Machine Learning and AI courses, they excel at leveraging these technologies for advanced applications.
A robust technical foundation and a genuine passion for artificial intelligence will give you a notable edge as you launch your career path after completing our comprehensive applied AI courses.
What jobs can I get after completing this AI and ML course?
Upon completing this course, your skills will be highly receptive to the job market. An array of exciting opportunities and diverse roles await exploration, including positions such as:
- AI ML Specialist
- AI Specialist
- Analytics Consultant
- Data Science Specialist
- Data Science Consultant
- Data Scientist
- Machine Learning Specialist
- Statistical Analyst
These roles represent a glimpse into the many career paths in artificial intelligence, machine learning, analytics, and data science. Each role offers unique challenges and growth prospects tailored to individuals with a strong foundation in these areas.
Is this a full online AI course training session or a classroom?
AnalytixLabs offers three distinct delivery formats for artificial intelligence courses online, meticulously tailored to accommodate the diverse needs of our valued clientele. We offer both online and classroom training sessions for our students and classroom blended E-Learning slots.
How will I know if this course is right for me?
Choosing the right course for your career is a significant decision. It involves carefully examining curriculum, duration, projects, and more.
Suppose you come from a technical or quantitative background with a degree or experience in Engineering, Mathematics, Statistics, or Business Management, and you’re eager to excel in AI and machine learning. In that case, our course is tailor-made for you. We’ve outlined all the course specifics above.
In our AI and ML courses, you’ll benefit from learning from industry-leading experts with substantial field experience. Our course fee is set according to industry standards. For further information, feel free to explore our brochure for comprehensive details.
When will I have access to learning materials if I enroll?
Access to LMS and course materials is granted for a period of one year. Additionally, you can retake any classes as needed within the subsequent year following course completion, subject to batch change policies.
Please note that for AnalytixLabs content, the typical access duration to co-branded global certification materials is limited to six months.
For genuine circumstances requiring further access to our artificial intelligence courses, recording access can be extended up to one year after the initial one-year validity period. It’s important to recognize that our courses are continuously updated to reflect industry developments, and older content may become outdated. Therefore, we do not guarantee lifetime access merely for promotional purposes.
Is there a free version of this course?
While we don’t currently provide an artificial intelligence free course, we actively engage with learners through informative and interactive webinars. These webinars focus on the latest developments and technologies in the industry, offering valuable insights that you can leverage to enhance your understanding of AI. We encourage you to join these sessions to stay updated and informed.
In addition to our webinars, you can explore a wealth of knowledge on AI-related topics through our AnalytixLabs Blogs and Medium Channel channels. These resources are designed to broaden your horizons and deepen your expertise in the domain, covering various subjects, from basic concepts to advanced applications.
Is this course for graduates or experienced professionals?
Our expansive and dynamic artificial intelligence courses offered online are thoughtfully designed to accommodate a wide range of learners, including college students, recent graduates, and professionals currently active in their careers.
This comprehensive course is particularly well-suited for individuals with a strong technical or quantitative foundation, such as those with backgrounds in Engineering, Mathematics, Statistics, Business Management, or related fields.
Whether you want to deepen your knowledge, transition to a new career path, or enhance your current skill set, our program provides the ideal opportunity to thrive in the exciting field of artificial intelligence.
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