Day 1: Introduction and AI Fundamentals

Module 1: Morning Session: Introduction to AI and CertNexus

Welcome and Course Overview
- Introduction to CertNexus and its mission.
- Overview of the GenAIBIZ (GAZ-110) certification.
Introduction to Artificial Intelligence
- Definitions: AI, General vs. Narrow AI.
- Recent history and timeline of AI developments.
- Enabling technologies in AI.

Module 2: Mid-Morning Session: Machine Learning Basics

Machine Learning Concepts
- Difference between algorithms and models.
- Datasets and their importance.
- Approaches: Supervised vs. Unsupervised Learning.
Deep Learning Overview
- Understanding Artificial Neural Networks (ANN).
- Network parameters, weights, and hyperparameters.
- Applications in Natural Language Processing (NLP) and Computer Vision.

Module 3: Afternoon Session: Generative AI Fundamentals

Generative AI Concepts
- Definition and key organizations/resources.
- Generative AI modalities: Text, Code, Images, Video, Audio, Multimodal.
- Approaches: GAN, VAE, GPT, Diffusion, RLHF.
Prompt Engineering and Fine-Tuning
- Basics of prompt engineering.
- In-context prompting and fine-tuning models.
- API access for generative AI.

Day 2: Solving Business Problems with AI-Generated Content

Module 4: Morning Session: Generating Text and Code with AI

Text Generation
- Large Language Models (LLM) and tokens.
- Approaches: Text generation, completion, chatbots, speech to text.
- Tools: OpenAI GPT, ChatGPT, Bard, Microsoft 365 Copilot, Duet AI, Whisper.
- Business use cases: Customer service, marketing, information summarization.
Code Generation
- Approaches: Code generation, completion, refactoring, testing, debugging.
- Tools: OpenAI Codex, GitHub Copilot, Amazon CodeWhisperer, CodeT5.
- Business use cases: Rapid development, project management, QA, software security.

Module 5: Mid-Morning Session: Generating Images and Videos with AI

Image Generation
- Approaches: Text to image, image to image, editing, upscaling.
- Tools: DALL·E, Craiyon, Midjourney, Stable Diffusion.
- Business use cases: Promotional materials, product design, medical imaging.
Video Generation
- Approaches: Text to video, image to video, customization.
- Tools: Synthesia, Rephrase Studio, Make-A-Video, Runway.
- Business use cases: Corporate branding, training materials, games/virtual worlds.

Module 6: Afternoon Session: Generating Audio with AI

Audio Generation
- Approaches: Text to audio, audio editing, assistive AI.
- Tools: Jukebox, VALL-E, MusicLM, ElevenLabs.
- Business use cases: Promotional materials, voiced chatbots, language learning.
Prompt Engineering for Media
- Techniques for effective prompt engineering.
- Fine-tuning models for specific use cases.

Day 3: Generative AI Challenges and Business Strategies

Module 7: Morning Session: Identifying Generative AI Challenges

Technical and Ethical Challenges
- Issues: Confabulation, misinformation, costs, lack of control, data limitations.
- Ethical risks: Privacy, accountability, transparency, bias, security.
Business Concerns
- Governance, employee impact, future of work.
- Operational and data risks, brand reputation, legal issues.

Module 8: Mid-Morning Session: Implementing Business Strategies

Best Practices for Generative AI Implementation
- Project factors: Scope, strategy, objectives, requirements.
- Alignment with organizational, ESG, and ethical initiatives.
Selection and Acquisition
- Selecting the right modalities and tools.
- Acquiring resources and job expertise.
Education and Change Management
- Educating end users and employees.
- Change management strategies: Change agents, knowledge translators.

Module 9: Afternoon Session: Evaluating Generative AI Projects

Evaluation Methods
- Business impact analysis, comparative analysis.
- Collecting and analyzing user feedback.
Monitoring and KPIs
- Usage monitoring, adverse results analysis, long-term sustainability.
Final Review and Q&A
- Recap of the course content.
- Open Q&A session to address any remaining questions.

CertNexus GenAIBIZ GAIBS: Generative AI Business Solutions