![AI A-Z [2026]: Agentic AI, Gen AI, Prompt Engineering and RL](https://img-c.udemycdn.com/course/750x422/1219332_bdd7_2.jpg)
Combine the power of Agentic AI, Generative AI, Prompt Engineering and Deep RL to build powerful AIs with AWS and Python
InstructorHadelin de Ponteves
Editorial course preview
These 2 complementary views highlight concrete, legible examples from the course presentation.
The instructor introduces the concept of Q-Learning, a fundamental algorithm in reinforcement learning used for decision-making processes.
The instructor presents the A3C algorithm concept, highlighted by a digital text overlay and visual effects to emphasize this advanced reinforcement learning topic.
The course provides high-quality conceptual explanations that help bridge the gap between complex AI theory and practical understanding.
The curriculum covers a wide range of topics, from traditional Reinforcement Learning to modern Generative AI and Agentic workflows.
Several practical sections report broken labs or code that is no longer compatible with current software environments. Note that while the course was updated in June 2026, several negative signals regarding compatibility were recorded prior to this date; an update label does not guarantee these specific issues were resolved.
The technical difficulty of the coding exercises often exceeds the stated 'basic Python' requirement. One signal suggests this mismatch exists, though it was recorded before the most recent update label.
Some implementation videos lack sufficient explanation of the 'why' behind specific code lines, making them difficult to follow. These signals were recorded prior to the displayed update date, and an update label does not prove a correction has been made.
There is a notable gap between the stated prerequisites and the actual difficulty of the programming-heavy implementation sections.