AI A-Z 2026: Agentic & Generative AI, Prompt Engineering, RL

This masterclass, curated by industry expert Hadelin de Ponteves, offers an exhaustive journey through the rapidly evolving landscape of modern artificial intelligence. Ideal for software engineers, data scientists, and ambitious tech enthusiasts, the curriculum seamlessly bridges the gap between theoretical AI foundations and practical, real-world deployment. Learners will explore the cutting edge of GenAI and Agentic AI, moving far beyond basic prompt engineering to master advanced Reinforcement Learning (RL) techniques. The course stands out by guiding students through the construction of seven distinct, production-ready AI applications. You will dive deep into foundational concepts like Deep Q-Learning, Proximal Policy Optimization (PPO), and Soft Actor-Critic (SAC), while also gaining hands-on experience with modern LLM optimization strategies such as Low-Rank Adaptation (LoRA) and QLoRA fine-tuning. By addressing critical NLP techniques, tokenization, and knowledge augmentation, this training equips you to build sophisticated chatbots and autonomous agents capable of solving complex business challenges. Whether you are aiming to transition into a dedicated machine learning role or want to integrate state-of-the-art AI models into your current workflow, this comprehensive 17-hour guide provides the exact toolkit needed to succeed in the era of Generative AI.