Artificial Intelligence 2.0: AI, Python, DRL + ChatGPT Prize

Combine the power of Agentic AI, Generative AI, Reinforcement Learning to create powerful AI for Real-World applications

Created by: Hadelin de Ponteves
Passionate AI Instructor

Created by: Kirill Eremenko
DS & AI Instructor

Created by: SuperDataScience Team
Helping Data Scientists Succeed

Created by: Luka Anicin
AI Engineer and Entrepreneur

Created by: Ligency Team
Helping Data Scientists Succeed

What Will I 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

Requirements

• High School Maths
• Basic Python knowledge

Target audience

• Anyone interested in Artificial Intelligence, Machine Learning or Deep Learning