This course by Krish Naik provides a structured path to mastering Agentic AI, designed for beginners and intermediate learners interested in Generative AI applications. The course starts with the prerequisites required to understand Agentic AI, including foundational knowledge in AI, LLMs, and vector databases, all supported with free videos and materials.

Learners will explore what Agentic AI is and why it’s a crucial skill in 2025 and beyond. Practical modules guide students through building multi-agent systems using RAG (Retrieval-Augmented Generation) with vector databases, Langflow, and Data Stax VectorDB. Advanced projects include creating an end-to-end Agentic AI workflow, a video summarizer agent using Phidata and Google Gemini, and deploying live AI applications.

The course also covers live cloud-based implementations using AWS and GCP, giving learners hands-on experience in building scalable Agentic AI solutions. Additional sessions focus on LangGraph for designing complex agent workflows and integrating multiple AI models into a cohesive system.

By the end of this course, participants will be able to design, implement, and deploy multi-agent AI systems, optimize RAG workflows, and leverage Agentic AI in real-world projects, making them industry-ready for AI-driven innovation.