Mastering Generative AI and Intelligent Agents
Mastering Generative AI and Intelligent Agents
Overall Objectives
- Equip participants with the fundamental concepts and principles of system design. Gain a solid understanding of the core concepts and principles that underpin Generative AI and intelligent agents .
- Delve into the architectural patterns, tools, and workflows that enable advanced AI-driven systems.
- Learn how agents operate, interact, and automate tasks effectively within AI ecosystems.
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100M+
Impressions
400K+
Followers
1M+
Engagements
What our students says!
About the creator
With over 16 years of experience, Rocky Bhatia is a dedicated, ambitious, and results-driven technology leader, currently serving as an Architect at Adobe. Renowned for his expertise in system design and software architecture, he is an award-winning professional honored with over 25 accolades, reflecting his outstanding contributions to the tech industry.
Rocky’s influence spans the globe, with his engaging, in-depth technical content reaching a monthly viewership of over a million and earning the trust of 400K+ followers across 120+ countries. As an international speaker, he passionately shares his knowledge and insights, inspiring audiences worldwide with his innovative perspectives and practical expertise.
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150k
With over 16 years of experience, Rocky Bhatia is a dedicated, ambitious, and results-driven technology leader, currently serving as an Architect at Adobe. Renowned for his expertise in system design and software architecture, he is an award-winning professional honored with over 25 accolades, reflecting his outstanding contributions to the tech industry.
Rocky’s influence spans the globe, with his engaging, in-depth technical content reaching a monthly viewership of over a million and earning the trust of 400K+ followers across 120+ countries. As an international speaker, he passionately shares his knowledge and insights, inspiring audiences worldwide with his innovative perspectives and practical expertise.
150k
170k
Key Highlights of this course
Understand the Foundations
Explore System Architecture
Unpack Intelligent Agents
Automating Task within AI Ecosystem
Hands-On Learning
Practical Insights
What you will learn
In this Course, we’ll explore the fascinating world of Generative AI and Intelligent Agents, diving deep into how they work, their applications, and the transformative impact they’re having on technology and business.
You’ll gain a comprehensive understanding of Generative AI concepts and hands-on expertise in building intelligent agent-based applications for real-world scenarios.
Discover the essential skills required to master Generative AI and Intelligent Agents.
This includes:
- Building workflows with LangChain.
- Designing multi-agent systems.
- Implementing RAG (Retrieval-Augmented Generation).
- Optimising solutions with tools like LangGraph, Python, and vector databases.
These skills will empower you to create advanced AI-driven applications with confidence.
We’ll cover fundamental Generative AI concepts, including:
- Transformers, embeddings, and attention mechanisms that power Large Language Models (LLMs).
- The role of agents in orchestrating tasks and automating workflows.
- RAG techniques for improving context and relevance in AI systems.
- Key principles of designing scalable, robust, and efficient AI solutions.
Gain hands-on experience with the most critical tools and frameworks in the AI ecosystem, including: - OpenAI API, LangChain, and LangGraph. - Vector databases . - UI tools like Streamlit or Gradio for building user-friendly applications. - Deployment with FastAPI and Docker. These tools will be at the core of every use case you build during the course.
You’ll work on real-world projects that bring Generative AI and Intelligent Agents to life:
- Dynamic Chatbot Development: Create a conversational AI bot with LangChain and RAG.
- AI Code Assistant: Develop a tool for autocompletion and intelligent code suggestions.
- AI-Based Code Review Tool: Automate pull request analysis with actionable feedback.
- Automated Research Assistant: Use multi-agent systems for summarization and insights.
- Trip Planner Agent: Build an AI-powered travel itinerary generator.
- Financial Analysis Agent: Analyze financial data and provide intelligent insights.
These projects will ensure you walk away with portfolio-ready applications to showcase your skills.
We’ll take a structured approach to building robust AI systems by:
- Designing workflows with LangChain and LangGraph.
- Exploring how agents communicate and collaborate.
- Implementing RAG pipelines for improved relevance and retrieval.
By the end, you’ll have a clear understanding of how to design and optimize AI-driven systems.
Learn to visualize and document your AI systems effectively. We’ll create detailed architecture diagrams for Generative AI and Agent-based applications, bringing together all the tools, concepts, and techniques you’ve learned during the course.
Get access to an extensive library of books, blogs, open-source projects, and articles to continue your learning journey.
Wrap up the masterclass with a dedicated Q&A session where you can ask questions, clarify concepts, and discuss challenges related to Generative AI and Intelligent Agents.
students tell about us
Frequently Asked Questions
Engineers: Perfect for engineers eager to explore the world of Generative AI and Agents, from building intelligent workflows to understanding real-world applications.
College Students and Working Professionals: Whether you're a student looking to gain an edge in your career or a professional aiming to upskill, this course is tailored to provide a solid foundation in Generative AI.
Aspiring Software Architects: If you aspire to design and lead cutting-edge AI-driven systems, this course equips you with essential skills to advance your ambitions.
Yes, all sessions will be recorded and accessible to participants after each class. This ensures you can revisit concepts at your convenience and learn at your own pace.
No advanced knowledge is required! A basic understanding of computer fundamentals and programming concepts is sufficient to follow along and excel in this course.
This course is meticulously designed to ensure you:
- Build a Strong Foundation: Learn core principles, essential tools, and concepts of Generative AI and Agents.
- Kickstart Your Journey: Gain practical knowledge and insights to confidently tackle AI-related projects.
- Hands-On Experience: Work on 5-6 real-world use cases, including LLM and agent-based applications, ensuring you have practical skills to showcase.
While the course provides a robust foundation and practical insights, mastering Generative AI is an ongoing journey. This course is your perfect starting point to:
- Understand the core concepts and tools in Generative AI.
- Build a portfolio of deployable projects.
- Gain the confidence to explore more advanced topics and real-world applications independently.
You’ll learn directly from me, an expert in Generative AI and Intelligent Agents.
- There are no external Teaching Assistants (TAs) or mentors involved.
- This ensures you receive unfiltered expertise and gain insights based on my hands-on experience in the field.
This course is heavily focused on real-world applications. By the end, you will have built:
1. A dynamic chatbot using LangChain and RAG.
2. An AI code assistant for autocompletion and suggestions.
3. A code review tool for automating pull request feedback.
4. A financial analysis agent for summarising and analyzing data.
5. A multi-task AI agent capable of performing various tasks like query optimisation, code generation, and real-time search.
These projects ensure you leave with tangible outputs to showcase in your portfolio.
We will use cutting-edge tools and frameworks, including:
- OpenAI API for LLM-powered solutions.
- LangChain for building AI workflows.
- LangGraph for orchestrating multi-agent systems.
- Python, Streamlit, and FastAPI for development and deployment.
- Vector databases like Pinecone and FAISS for retrieval-based systems.