AI Development with Python: Generative AI and Reinforcement Learning

The landscape of artificial intelligence is shifting from simple chatbots to autonomous agents and complex decision-making systems. This course provides a clear path for beginners to understand and build these modern technologies through structured written lessons. You will transition from a curious learner to a practitioner capable of designing AI solutions, starting with foundational concepts and moving into advanced architectures used in the industry today. Through this comprehensive text-based program, you will gain the skills to navigate the entire AI lifecycle, from crafting the perfect prompt to training models that learn through interaction. You will explore how to bridge the gap between static models and dynamic, data-aware applications using modern retrieval techniques and agentic frameworks. What you'll learn: - Understand the core principles of Large Language Models and Generative AI mechanics. - Apply advanced prompt engineering techniques to optimize model outputs for specific tasks. - Build autonomous AI agents capable of executing complex business workflows. - Implement Retrieval-Augmented Generation (RAG) to connect models to real-time external data. - Master reinforcement learning algorithms including Q-Learning and Proximal Policy Optimization. - Configure responsible AI guardrails to ensure ethical and secure model deployments. - Practice deploying and monitoring AI models using Python and cloud-based machine learning tools. The course begins with essential terminology and the mechanics of foundation models before exploring fine-tuning and data selection. It then transitions into the world of reinforcement learning and agentic AI, concluding with industry-standard practices for responsible AI governance and model interpretability. This course is designed for beginners and aspiring developers who want a structured introduction to AI. No prior experience with artificial intelligence is required, though a basic familiarity with general programming concepts is helpful. Begin your journey into the future of intelligent automation today.