This podcasts is from an AI Agents workshop which I attended and its associated " created Ai Session.pdf from my notebooks" provide an overview of AI agents, contrasting them with traditional software and highlighting their ability to think, plan, and act autonomously. The material covers fundamental concepts, including agent definition, risk management through boundaries, and the AI engineering value chain, which spans application, model, and infrastructure development. Practical demonstrations using the Crew AI framework showcase various agent patterns such as router, tool-calling, and autonomous agents for tasks like content conflict detection, script writing using search tools, and stock analysis leveraging financial APIs. The masterclass also emphasizes the growing importance of AI engineers and provides a roadmap for individuals to acquire the necessary skills in areas like prompt engineering, multimodal applications, agentic workflows, and full-stack AI solution deployment, concluding with information about a generative AI engineering fellowship.