Generative AI Fundamentals for Tech Professionals

A concise course equipping tech professionals with the core knowledge and practical skills to leverage Generative AI for innovation and efficiency.

Introduction to Generative AI

Unit 1: Defining Generative AI

Unit 2: A Brief History of GenAI

Unit 3: GenAI Applications

Unit 4: Math Behind GenAI

Core Generative AI Model Architectures

Unit 1: Generative Adversarial Networks (GANs)

Unit 2: Variational Autoencoders (VAEs)

Unit 3: Transformers for Generative AI

Prompt Engineering Fundamentals

Unit 1: Introduction to Prompt Engineering

Unit 2: Basic Prompt Design Principles

Unit 3: Prompt Refinement and Iteration

Unit 4: Prompt Parameters and Model Control

Advanced Prompt Engineering Strategies

Unit 1: Advanced Prompting Techniques

Unit 2: Prompting for Specific Tasks

Unit 3: Controlling Model Output

Ethical Considerations in Generative AI

Unit 1: Understanding Bias in Generative AI

Unit 2: Copyright and Intellectual Property

Unit 3: Misinformation and Deepfakes

Unit 4: Responsible Use of Generative AI

Practical Applications and Tooling

Unit 1: Generative AI APIs and Tools

Unit 2: Integrating Generative AI

Unit 3: Real-World Applications

Unit 4: Tool Selection