What you'll 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