Artificial Intelligence A-Z 2025: Agentic AI, Gen AI, and RL
Combine the power of Agentic AI, Generative AI, Reinforcement Learning to create powerful AI for Real-World applications
4.49 (45747 reviews)
322 393
students
15.5 hours
content
Mar 2025
last update
$199.99
regular price
What you will learn
Build 7 different AIs for 7 different applications
Understand the theory behind Artificial Intelligence
Master the State of the Art AI models
Solve Real World Problems with AI
Q-Learning
Deep Q-Learning
Deep Convolutional Q-Learning
A3C (Asynchronous Advantage Actor-Critic)
PPO (Proximal Policy Optimization)
SAC (Soft Actor-Critic)
LLMs
Transformers
Low-Rank Adaptation (LoRA) and Quantization (QLoRA)
NLP techniques for Chatbots: Tokenization and Padding
Fine-Tuning an LLM with Knowledge Augmentation
As Extras: DDPG, Full World Model, Evolution Strategies & Genetic Algorithms
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Comidoc Review
Our Verdict
With its well-organized structure and focus on hands-on exercises and real-world examples, this course offers a valuable learning opportunity for those looking to grasp the complexities of reinforcement learning. However, some may find the reliance on external resources and the slow pace of code tutorials less engaging. Despite minor drawbacks, it remains an informative journey into reinforcement learning for aspiring AI professionals.
What We Liked
- Excellent whirlwind tour of reinforcement learning, providing a broad understanding of the subject matter
- Hands-on exercises and real-world examples help solidify the understanding of complex concepts
- Instructors break down complex topics effectively and make the course enjoyable
- Well-organized structure facilitates seamless progression from foundational principles to advanced topics
Potential Drawbacks
- Some theoretical content might be challenging for those without a strong math background
- Occasional reliance on external resources leaves some room for improvement in self-contained course content
- Code tutorials can feel lengthy and slow, which may impact engagement
- Instructor's explanations of code could benefit from more clarity
Related Topics
1219332
udemy ID
17/05/2017
course created date
10/06/2019
course indexed date
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