This advanced course trains you to become a Full-Stack AI Architect. It covers everything from prompt engineering to building complex agentic AI systems, MLOps, deployment, and production-grade AI architecture. You will learn how to design, develop, and manage complete AI solutions from end to end.

Motive

1. Master the complete journey from basic prompting to building advanced Agentic AI systems. 2. Develop full-stack AI architecture skills including design, development, and deployment. 3. Learn to create production-ready, scalable, and reliable AI solutions. 4. Gain expertise in Generative AI, RAG, Agents, and LLMOps. 5. Build a strong portfolio and prepare for senior AI Architect / AI Engineer roles.

Prerequisites

1. Intermediate to advanced knowledge of Python. 2. Good understanding of Machine Learning and Generative AI concepts. 3. Familiarity with APIs, LangChain, and basic prompt engineering. 4. Experience with Git and cloud platforms is beneficial. 5. Strong problem-solving mindset and willingness to work on complex projects.

Course Content

The Full-Stack AI Architect: From Prompting to Agentic Systems

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