Curriculum
- 4 Sections
- 20 Lessons
- 24 Weeks
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- GENERAL TRACK: AI & Generative AI Using LLM, Deep Learning and Machine Learning8
- 1.0Chapter 1: Introduction to AI and Gen AI
- 1.1Chapter 2: Reinforcement Learning
- 1.2Chapter 3: Q-Learning Implementation
- 1.3Chapter 4: Deep Convulational Q-Learning Intuition
- 1.4Chapter 5: A3C Intuition
- 1.5Chapter 6: PPO and SAC Models
- 1.6Chapter 7: Artificial Neural Networks
- 1.7Chapter 8: Convulational Neural Networks
- TRACK ONE: Generative AI for Cybersecurity5
- 2.1Section 1: Decoding Generative AI and Large Language Models (LLMs)
- 2.2Section 2: Architecture of Large Language Models, Design and Security Controls
- 2.3Section 3: LLM Technology Stacks and Security
- 2.4Section 4: Open-Source and Proprietary LLMs
- 2.5Section 5: Prompt Engineering and LLMs Fine-Tuning – Hands On
- TRACK TWO: AI for Data Science and Big Data Analytics4
- TRACK THREE: Artificial Intelligence and Software Development & Testing3