Introduction to Generative AI and its Application

Starts On

11 May, 2026

Duration
  • 6 Days, Online
  • Time: 6pm-9pm
Programme Fee

₹23600 inc. gst

Eligibility

Any Graduate

About Course


What Will You Learn?


  • AI Fundamentals: Core concepts of Neural Networks, NLP, and Generative AI basics.
  • Model Architectures: In-depth understanding of Transformers and Large Language Models (LLMs).
  • Prompt Engineering: Mastering techniques to effectively communicate with and guide AI models.
  • Developer Tools: Practical application using OpenAI APIs, Ollama, and open-source models.
  • Advanced Systems: Building robust applications using Retrieval-Augmented Generation (RAG) frameworks.
  • Future Trends: Navigating AI safety, ethics, and the evolution toward Agentic AI systems

Course Content


Module 1: Introduction to AI and Generative AI
  • What is AI, Machine Learning, Deep Learning
  • Difference between traditional AI (rule-based) and Generative AI
Module 2: Basics of Neural Networks & NLP
  • What is a neural network (with analogy – like “neurons” in the brain)
  • What is Natural Language Processing (NLP)
  • Classic NLP tasks (sentiment analysis, translation, question answering)
  • Difference between classical NLP (TF-IDF, Bag-of-Words) and modern transformers
Module 3: Introduction to Transformers
  • Why traditional models struggled with language
  • The “Transformer” architecture
  • Key ideas: Attention, Context, Sequence handling
Module 4: Large Language Models (LLMs)
  • What is an LLM?
  • Examples: GPT, LLaMA, Mistral, Gemini, Claude
  • Capabilities (text generation, reasoning, summarization)
  • Limitations (hallucinations, bias, data dependency)
Module 5: Generative AI Basics
  • What is text generation?
  • What are tokens and how do they work?
  • Embeddings (how machines “understand” meaning)
  • Fine-tuning (when and why to fine-tune a model)
  • Differences between embeddings vs prompt engineering
Module 6: Prompt Engineering
  • What is prompting? Why it matters
  • Good vs. bad prompts
  • Prompt Techniques / Types of Prompts
  • Key Prompting Principles
  • Hands-on demonstration
Module 7: OpenAI Platform, API Tools & Open Source Models, Ollama
  • How to call APIs: chat completions, embeddings, image generation if applicable
  • Multimodal AI – text, image, audio, video integration
  • Pricing, Quotas, and Limits
  • Popular Open-Source Models
Module 8: Retrieval-Augmented Generation (RAG)
  • What is RAG?
  • Why RAG is important
  • RAG Core Concepts
  • RAG Workflow
  • Hands-on Mini Project
Module 9: Safety, Ethics, and Limitations
  • Hallucinations
  • Bias & fairness in LLMs
  • Privacy Concern
  • Model Output Evaluation
  • Guardrails
  • Evaluation Matrices (BLEU / ROUGE)
Module 10: Project / Application Building
  • Mini-Use Case
  • Text summarization
  • Chatbot
  • FAQ System
Module 11: Advanced GenAI Concepts / Future of GenAI
  • Agentic AI & Agents
  • Model Context Protocol (MCP)
  • AI Orchestration Frameworks
  • Multi-Agent Systems

Your Instructor


Prof Dr S Rath

  • Head SQC & OR
  • Chief Architect & Strategic Advisor
  • Indian Statistical Institute, Pune

Mr V Kumar

  • Gen AI & Data Science Consultant
  • Instructor
  • M.Tech, Indian Statistical Institute, Kolkata

₹23600inc. gst

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01

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Every class is live and delivered by actual practitioners in their fields. Real-life scenarios presented in a format focused on real-world applications.

02

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Our course curriculum is tailored based on the skills and knowledge around what companies are actively looking to hire for right now.

03

Hands-On Skill Building

Every session includes practice on real problems. You finish each class knowing how to apply what you just learned.

04

Ongoing Support

Your learning does not stop when the course ends. Access recorded sessions, get doubt support and stay connected with your learner community.

What Makes Mechlar Learning Different

Learning is best measured by the quality of questions, not the quantity of answers.

01

Question-Driven Learning Model

Instead of asking learners “Did you understand?”, we ask: “What questions can you ask now that you couldn’t ask before?”

02

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Our learning is anchored in real industry challenges, not hypothetical case studies.

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Our Top Rated Instructors with Industry Expertise

Course FAQs

Frequently asked questions about this course


Will I get to build a real-world project during the program?

Absolutely. The curriculum includes a dedicated module for Project and Application Building, where you will use your skills to create a functional Gen AI tool.

Can this course help me implement AI in my specific industry?

Yes. The curriculum is designed to be generic yet impactful, showing how Gen AI disrupts processes in IT, Healthcare, Finance, and Research. You will learn to identify and build use cases relevant to your domain.

How do I enroll?

To begin your enrollment, please complete the "Register Now" form. Once submitted, our admissions team will contact you via email with a detailed course overview and payment instructions. After your payment is processed, you will receive an official confirmation email and a digital receipt. All necessary onboarding materials, including the session access links, will be sent to you shortly before the course start date.

Is the course live or pre-recorded?

The course is conducted live with real-time instruction and interactive sessions. Recordings of each session are made available afterward for revision.

What makes this course different from pre-recorded platforms?

Unlike fully pre-recorded courses, this program includes live teaching, direct doubt-solving, and personalized one-on-one interaction with the instructor.

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