Overview
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Duration/Frequency:
22 Hours
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Mode of Training:
Face-to-Face (Classroom Teaching)
Course Objective
This course equips participants with the foundational and applied skills for building agentic Artificial Intelligence (AI) applications — intelligent systems powered by Large Language Models (LLMs) that can reason, plan, and act autonomously.
Participants, including those without prior coding experience, will be first introduced to basic Python programming. They'll move onto practical frameworks like LangChain, Gradio, ChromaDB and their equivalents, letting them chain prompts, access external knowledge, and deploy fully functional AI assistants as web applications. Participants will also learn retrieval-augmented generation (RAG), tool use, and multi-agent collaboration concepts.
Overall, ideal for professionals, educators, and career switchers seeking to learn applying AI in work settings. By the end of the course, participants can build and deploy custom AI agents tailored to real-world needs in customer service, education, administration, and knowledge work.
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