Generative Ai & Ai Agents: Chatgpt, Langchain, Rag, Llms
Published 8/2026
MP4 |
Video: h264, 1920x1080 |
Audio: AAC, 44.1 KHz, 2 Ch
Language: English |
Duration: 2h 7m |
Size: 1.7 GB
Master ChatGPT, OpenAI API, LLMs, LangChain, LangGraph, RAG, Hugging Face, Vector Databases & Build Real-World AI Apps
What you'll learn
Understand the fundamentals of Generative AI and Large
Language Models (LLMs)
Work with ChatGPT and modern AI models to create practical AI solutions
Write effective prompts for different Generative AI use cases
Build AI-powered applications using LangChain
Understand LangChain concepts such as prompts, chains, memory, tools, and agents
Explore the Hugging Face ecosystem and available AI models
Integrate AI models into practical applications and workflows
Build chatbot and other Generative AI application concepts
Understand how LLMs can work with external data and application context
Develop a foundation for creating and experimenting with their own Generative AI applications
Requirements
No prior experience needed. A computer, internet connection, and willingness to learn AI tools are enough to get started.
Description
Master Generative AI, LLMs, RAG, LangChain & AI Agents - From Beginner to Real-World AI Applications
Generative AI is transforming how we build software, automate workflows, create content, analyze information, and interact with technology. This course is a practical, beginner-friendly guide to Generative AI, ChatGPT, Large
Language Models (LLMs), OpenAI API, LangChain, LangGraph, RAG, AI Agents, Hugging Face, Vector Databases, and Prompt Engineering.
Whether you're a complete beginner, non-coder, developer, freelancer, entrepreneur, or AI enthusiast, this course will help you understand modern Generative AI and learn how to build practical AI-powered applications.
You'll start with the fundamentals-learning how Generative AI and LLMs work without complicated mathematics or unnecessary jargon. You'll explore ChatGPT, prompting techniques, tokens, transformers, inference, context, and the differences between APIs and open-source models.
From there, you'll move into hands-on AI development using the OpenAI API. You'll learn how to connect applications with LLMs and build intelligent assistants, chatbots, text-processing applications, and AI-powered workflows.
Build AI Applications with LangChain & LangGraph
You'll learn how LangChain helps developers connect LLMs with prompts, tools, memory, external data, APIs, and retrieval systems.
You'll also explore AI Agents and Agentic AI, including tool calling, ReAct-style agents, multi-step workflows, and LangGraph for building more advanced and stateful AI applications.
Master RAG, Embeddings & Vector Databases
Learn one of the most important techniques in modern Generative AI: Retrieval-Augmented Generation (RAG).
You'll understand how AI applications can retrieve information from external knowledge sources and use it to generate more relevant responses.
You'll explore
- RAG architecture and workflows
- Embeddings and semantic search
- Document retrieval
- AI memory
- Pinecone
- ChromaDB
- FAISS
- LangChain retrieval
- Chat with PDFs and documents
- Website knowledge retrieval
Explore Hugging Face & Open-Source LLMs
Generative AI isn't limited to proprietary models. You'll learn how to use Hugging Face and open-source Large
Language Models, work with Transformers, compare open-source models with commercial APIs, and explore the fundamentals of LoRA fine-tuning.
Build Real-World Generative AI Projects
This course focuses on learning by building. You'll work on practical projects such as
- AI Personal Assistant
- Context-Aware AI Chatbot
- AI Tool-Calling Agent
- Weather AI Agent
- Calculator AI Agent
- Chat With Your PDFs RAG Application
- Website Retrieval AI Chatbot
- AI Social Media Post Generator
- Podcast AI Summarizer
You'll also learn how to create user interfaces with Streamlit and Gradio, deploy AI applications, use Hugging Face Spaces, and showcase your projects professionally on GitHub.
What You'll Learn
By the end of this course, you'll be able to
- Understand Generative AI and Large
Language Models (LLMs)
- Use ChatGPT more effectively with Prompt Engineering
- Understand tokens, context windows, transformers, training, and inference
- Build applications using the OpenAI API
- Build LLM applications with LangChain
- Create AI Agents that interact with tools and APIs
- Build multi-step AI workflows using LangGraph
- Understand Agentic AI concepts
- Build Retrieval-Augmented Generation (RAG) systems
- Work with embeddings and semantic search
- Use Pinecone, ChromaDB, and FAISS vector databases
- Build AI applications that interact with PDFs and documents
- Work with Hugging Face and open-source LLMs
- Understand the fundamentals of LoRA fine-tuning
- Build AI interfaces with Streamlit and Gradio
- Understand hallucinations, bias, AI safety, and responsible AI
- Deploy Generative AI applications
- Build portfolio-ready AI projects
Who Is This Course For?
This course is designed for
- Beginners who want to enter the Generative AI field
- Developers interested in building LLM-powered applications
- Students learning AI and modern software development
- Freelancers who want to offer Generative AI development services
- Entrepreneurs interested in AI-powered products
- Professionals looking to understand ChatGPT and Generative AI
- Anyone interested in LLMs, RAG, LangChain, LangGraph, AI Agents, or Agentic AI
You don't need to be an AI expert to get started. The course begins with beginner-friendly concepts and gradually progresses toward practical AI development.
Start Building with Generative AI
Instead of only learning AI theory, you'll understand how modern Generative AI applications actually work and how to build them yourself.
By completing the course, you'll have practical experience with some of today's most important AI technologies, including ChatGPT, OpenAI, LangChain, LangGraph, RAG, AI Agents, Hugging Face, LLMs, embeddings, and vector databases.
Start learning today and build the skills needed to create the next generation of Generative AI and Agentic AI applications.
Who this course is for
This course is designed for beginners, students, freelancers, content creators, marketers, and professionals who want to learn how to use ChatGPT and Prompt Engineering effectively. Whether you're new to AI or looking to sharpen your skills, this course will help you understand how to communicate with AI tools to get accurate, useful, and creative results - saving time and boosting productivity in your work or business.
Generative Ai & Ai Agents Chatgpt, Langchain, Rag, Llms
