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:
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Understand what AI agents are and how they differ from chatbots
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Set up LangChain and GPT APIs to power your agent’s thinking
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Connect agents to tools: web search, calculator, file readers, etc.
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Implement memory, embeddings, and vector databases
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Perform reasoning and decision-making via prompt chaining
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Use Retrieval-Augmented Generation (RAG) for smart Q&A
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Deploy agents with a user interface (Gradio/Streamlit)
✅ Technologies & Frameworks Used:
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Python
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OpenAI GPT-3.5 / GPT-4 API
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LangChain
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FAISS or ChromaDB
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Pinecone (optional)
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Gradio / Streamlit
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Google Colab / VS Code
✅ Who Is This Course For?
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Python developers eager to explore GenAI
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Students and AI enthusiasts interested in LLM automation
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Entrepreneurs building next-gen AI tools
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Data scientists wanting to integrate LLMs into workflows
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Anyone who wants to build tools like AutoGPT, BabyAGI, or GPT-powered Assistants
Lessons:
