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.
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Introduction to Generative AI
Unit 1: Defining Generative AI
What is Generative AI?
GenAI vs. Traditional AI
The Creativity Factor
Unit 2: A Brief History of GenAI
Early Days of GenAI
Key Milestones
Rise of Deep Learning
Unit 3: GenAI Applications
GenAI in Art & Design
GenAI in Healthcare
GenAI in Finance
GenAI in Entertainment
Unit 4: Math Behind GenAI
Probability Basics
Distributions in GenAI
Random Variables
Intro to Statistics
Core Generative AI Model Architectures
Unit 1: Generative Adversarial Networks (GANs)
Intro to GANs
The Generator
The Discriminator
GAN Training Dynamics
GAN Use Cases
Unit 2: Variational Autoencoders (VAEs)
Intro to VAEs
The Encoder
The Decoder
VAE Training
VAEs for Generation
Unit 3: Transformers for Generative AI
Intro to Transformers
Self-Attention
Transformer Architecture
Text Generation
Beyond Text
Prompt Engineering Fundamentals
Unit 1: Introduction to Prompt Engineering
What is Prompt Engineering?
Why Prompts Matter
Prompt Engineering Use Cases
Unit 2: Basic Prompt Design Principles
Clarity in Prompts
Specificity is Key
Setting the Context
Prompt Length
Unit 3: Prompt Refinement and Iteration
The Iterative Process
Analyzing Model Output
Feedback Loops
Prompt Versioning
Unit 4: Prompt Parameters and Model Control
Temperature's Impact
Top-p Sampling
Other Key Parameters
Advanced Prompt Engineering Strategies
Unit 1: Advanced Prompting Techniques
Few-Shot Learning Intro
Crafting Few-Shot Prompts
Chain-of-Thought Intro
Building CoT Prompts
Unit 2: Prompting for Specific Tasks
Text Summarization
Code Generation
Image Editing
Creative Writing
Unit 3: Controlling Model Output
Bias Detection
Mitigating Bias
Generating Diversity
Style & Tone Control
Format Control
Iterative Prompting
Ethical Considerations in Generative AI
Unit 1: Understanding Bias in Generative AI
What is AI Bias?
Sources of Bias
Bias Amplification
Impact on Content
Unit 2: Copyright and Intellectual Property
Copyright Basics
Training Data Issues
Ownership of Outputs
Protecting Your Work
Unit 3: Misinformation and Deepfakes
The Deepfake Threat
Detecting Deepfakes
Combating Misinformation
Unit 4: Responsible Use of Generative AI
Transparency is Key
Accountability Matters
Fairness First
Ethical Checklist
Practical Applications and Tooling
Unit 1: Generative AI APIs and Tools
Intro to GenAI Tooling
Image Generation APIs
Text Creation APIs
Code Synthesis APIs
API Authentication
Unit 2: Integrating Generative AI
GenAI in Existing Apps
Frontend Integration
Backend Integration
Data Pipelines for GenAI
Unit 3: Real-World Applications
GenAI in Marketing
GenAI in Healthcare
GenAI in Finance
GenAI in Entertainment
Unit 4: Tool Selection
Choosing the Right Tool