Generating AI Agent - Build Intelligent Systems

Are you ready to build your own intelligent AI agents that think, reason, and take actions autonomously?

In this powerful hands-on course, you’ll learn how to design and implement AI-powered agents using cutting-edge tools like LangChain, OpenAI’s GPT-4, FAISS, and Python. These agents can automate tasks, retrieve knowledge, make decisions, and interact with users naturally — a perfect starting point to build your own Jarvis, AutoGPT, or BabyAGI-style assistant.

From simple chat-based logic to tool-using and memory-enabled agents, this course will help you build real-world AI systems for business, automation, education, and innovation.

Whether you’re a developer, AI enthusiast, entrepreneur, or student, this course will give you practical knowledge and project-based learning to confidently build your own AI Agents.

✅ What You Will Learn:

• Understand what AI agents are and how they differ from chatbots

• Set up LangChain and GPT APIs to power your agent’s thinking

• Connect agents to tools: web search, calculator, file readers, etc.

• Implement memory, embeddings, and vector databases

• Perform reasoning and decision-making via prompt chaining

• Use Retrieval-Augmented Generation (RAG) for smart Q&A

• Deploy agents with a user interface (Gradio/Streamlit)

✅ Technologies & Frameworks Used:

• Python

• OpenAI GPT-3.5 / GPT-4 API

• LangChain

• FAISS or ChromaDB

• Pinecone (optional)

• Gradio / Streamlit

• Google Colab / VS Code

✅ Who Is This Course For?

• Python developers eager to explore GenAI

• Students and AI enthusiasts interested in LLM automation

• Entrepreneurs building next-gen AI tools

• Data scientists wanting to integrate LLMs into workflows

• Anyone who wants to build tools like AutoGPT, BabyAGI, or GPT-powered Assistants