Generative AI  /  Beginner to Mastery

Mastering in GenAI & Agentic AI

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Course Duration

150 Hours

 

Course Material

Live. Online. Interactive.

Emphasizes practical, real-world applications and innovations in AI.

Enhances career prospects in specialized roles such as AI engineering and creative AI development.

Offers a deep dive into both theoretical and practical aspects of generative AI.

Equips learners with cutting-edge tools and frameworks to build impactful AI-driven solutions.

KEY HIGHLIGHTS OF MASTERING IN GENAI & AGENTIC AI PROGRAM

1) Weekly sessions with industry professionals

2) Dedicated Learning Management Team

3) 150 hours of hands-on learning experience

4) Over 40 hours live sessions spread across 02 months

5) 40 hours of self-paced Learning

6) Learn from Industry Experts.

🔺More than 50+ industry-related projects and case studies

🔺24*7 Support

🔺1:1 Mock Interview

🔺Designed for both working professionals and fresh graduates

🔺Competitive Edge and Innovation

🔺 Personalised mentorship sessions with industry experts

🔺Dedicated Learning Management Team

🔺No-Cost EMI Option

🔺High Demand and Career Opportunities

🔺Problem-Solving and Critical Thinking

WHY JOIN ADVANCED AI & GENERATIVE AI PROGRAM?

Comprehensive Gen AI Training

Gain expertise across all major aspects of advanced artificial intelligence.

Hands-On Learning

Work on projects which develop real-world skills and experience.

Industry-Relevant Curriculum

Prepare for roles and jobs that come with an increased opportunity as the AI field grows.

Career Advancement

Boost your qualifications and open doors to advanced AI role

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Mastering in GenAI & Agentic AI OVERVIEW

This Program offers a deep dive into leading Advanced AI tools and technologies. The participants will be delving deep into Hugging Face Transformers and their use in NLP, Large Language Models (LLMs) and GPT for text generation but even going a step further with DALL-E 2 as well as MidJourney for advanced level image creation. Lastly, This program also goes over Generative Adversarial Networks (GANs) for fake data generation, Retrieval-Augmented Generation (RAG) to boost language models and LangChain for building AI-driven applications. You will learn the skills required to innovate with these technologies through this course.

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Mastering in GenAI & Agentic AI Objectives

This course aims to provide a comprehensive understanding of key Advanced AI principles. You will start from Hugging Face Transformers for NLP, generating GPT text using Large Language Models (LLMs), and harnessing DALL-E 2 in MidJourney to make dreamy graphics. We also discuss the Retrieval-Augmented Generation (RAG) framework, a generative model centered on language models that benefits from retrieval techniques to integrate knowledge in advance, as well as Generative Adversarial Networks (GANs) for data generation. Lastly, by using LangChain to create and use complex AI systems, we wish the participants could make real progress in their work as well.

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Why Learn Mastering in GenAI & Agentic AI ?

Master Advanced NLP

Gain expertise in Hugging Face Transformers, essential for cutting-edge natural language processing tasks.

Explore LLMs & GPT

Learn to leverage Large Language Models and GPT for effective text generation and comprehension.

Hands-On Image Creation

Develop skills with DALL-E 2 and MidJourney to create high-quality, creative images from text.

Understand GANs

Discover how Generative Adversarial Networks can generate realistic synthetic data for diverse applications.

Enhance with RAG

Learn to integrate external information into language models for improved performance and accuracy.

Build with LangChain

Acquire practical knowledge in using LangChain to create and manage complex AI systems, enabling participants to make real progress in their work..

Innovate in AI

Equip yourself with the tools and skills needed to drive innovation and advancements in the AI field.

Real-World Capstone Projects

Apply your knowledge through industry-based projects that bridge theory with practical, impactful AI solutions.

Program Advantages

✅ Comprehensive skill set in Python programming, statistical analysis, machine learning, deep learning, computer vision, NLP and Reinforcement learning.

✅ Industry-relevant knowledge with a focus on current tools and approaches.

✅ Practical experience through projects and assignments.

✅ Expert instruction from knowledgeable educators.

✅ Career advancement opportunities include various roles such as Data Analyst, ML Engineer, Deep Learning Engineer, Computer Vision Engineer, NLP Engineer, Data Scientist, AI Engineer and AI specialist.

✅Familiarity with the latest libraries and frameworks.

✅Create a portfolio for employers to see skills.

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Mastering in GenAI & Agentic AI program Certifications

Mastering in GenAI & Agentic AI Curriculum

Module 01 - Foundations of Generative AI
Lecture 01: Evolution of AI (Rule-based → ML → GenAI → Agentic AI), Hype vs Reality, Industry Adoption of GenAI, Ethical & Responsible AI
Lecture 02: How Generative AI Works: LLM intuition, Tokens, Embeddings, Context Window, Capabilities & Limitations (Hallucination, Bias, Cost)
Lecture 03: Multimodal AI Systems: Text, Image, Tables, Documents. Industry Applications. Case Study: Invoice and financial report understanding
Lecture 04: Core Generative AI Tasks: Text generation, Classification, Summarization, Question Answering. Hands-on Case Study: Resume screening and document summarization
Lecture 05: Prompt Engineering Fundamentals: Zero-shot, Few-shot, Role Prompting, Prompt Templates. Case Study: Marketing content generation
Module 02 - Prompt Engineering, RAG & Multimodal RAG
Lecture 06: Advanced Prompting: Prompt Debugging, Guardrails, Prompt Evaluation, Response Optimization. Hands-on Case Study: Improving incorrect chatbot responses
Lecture 07: Retrieval-Augmented Generation (RAG): Embeddings, Vector Search, RAG Architecture. Hands-on Case Study: Chat with company policy documents
Lecture 08: Multimodal RAG: Text + Image + Table Retrieval, Document Intelligence. Case Study: Invoice and scanned document Q&A system
Module 03 - Agentic AI Systems & Framework Internals
Lecture 09: Introduction to Agentic AI: Agent vs Chatbot Workflow, Agent Lifecycle, Levels of Autonomy, Human-in-the-loop Systems. Case Study: AI Research Assistant
Lecture 10: Agent Architecture & Design Patterns: Planner-Executor-Evaluator, ReAct Pattern, Tool-Use Pattern, Reflection. Hands-on Case Study: Recruiter Agent design
Lecture 11: Agent Memory, Tools & Planning: Short-term vs Long-term Memory, Tool Calling, Feedback Loops. Case Study: Customer support agent with memory
Lecture 12: Agent Framework Internals (Conceptual): How frameworks manage chains, agents, tools and memory. Positioning of LangChain. Design considerations without deep syntax
Module 04 - Fine-Tuning, No-Code Agents & Capstone Project
Lecture 13: LLM Fine-Tuning from an Industry Perspective: Prompting vs RAG vs Fine-Tuning, PEFT and LoRA concepts, Cost, Risk and Governance Considerations
Lecture 14: No-Code and Low-Code Agentic AI: Use cases, Benefits and Limitations, Visual Agent Design. Demo: No-code content or support agent
Lecture 15: Capstone Design Session: End-to-End Generative AI and Agentic AI Solution. Hands-on Project: AI Customer Support Supervisor Agent
Lecture 50: Langchain and Custom Chatbots
Lecture 51: AI Application Stack
Lecture 52: Ethical Considerations in AI
Lecture 53: Project Session

 

Mastering in GenAI & Agentic AI Skills Covered

Mastering in GenAI & Agentic AI Tools Covered

Advanced AI & Generative AI Program Benefits

In-Depth Knowledge
Gain a comprehensive understanding of leading-edge AI tools and their applications.
Practical Skills
Develop hands-on experience with advanced tools for real-world AI challenges.

 

Career Enhancement
Boost your qualifications and career opportunities in the rapidly evolving field of AI.

 

Innovation Readiness
Equip yourself with the skills to drive innovation and create novel AI solutions.

 

Industry Relevance
Learn from industry-leading technologies and techniques that are in high demand.

 

Earn Certification
Earn a certification that validates your expertise and enhances your professional credibility.

 

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Admission Process

The application process consists of three simple steps. An offer of admission will be made to selected candidates based on the feedback from the interview panel. The selected candidates will be notified over email and phone, and they can block their seats through the payment of the admission fee.