- 7 Sections
- 27 Lessons
- Lifetime
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- 1. GenAI in Product and Business Design5
- 2. AI Model Configuration and Tuning6
- 2.1RO2W 2.1 Choosing the Right LLM: GPT, Claude, and Open-Source
- 2.2RO2W 2.2 API vs On-Prem: Security and Cost Tradeoffs
- 2.3RO2W 2.3 Tuning Model Behavior: Temperature, Top-p, and System Prompts
- 2.4RO2W 2.4 Managing Context: Token Limits, Memory, and Summarization
- 2.5RO2W 2.5 Building Prompt Templates and Chaining Logic
- 2.6RO2W 2. Quiz3 Questions
- 3. Integrating GenAI into Workflows5
- 4. Data Management for Generative AI6
- 4.1RO2W 4.1 Data Pipelines: Collecting, Cleaning, and Labeling for GenAI
- 4.2RO2W 4.2 Structuring Unstructured Data for Model Use
- 4.3RO2W 4.3 Working with Vector Databases and Embeddings
- 4.4RO2W 4.4 Retrieval-Augmented Generation in Practice
- 4.5RO2W 4.5 Managing Sensitive Data: Privacy, GDPR, and Ethics
- 4.6RO2W 4. Quiz3 Questions
- 5. Advanced Business Applications6
- 5.1RO2W 5.1 Automating Support and Sales with AI Agents
- 5.2RO2W 5.2 GenAI in HR: Hiring, Onboarding, and Skill Tracking
- 5.3RO2W 5.3 GenAI for Education: Content Generation and Tutoring
- 5.4RO2W 5.4 Marketing with GenAI: SEO, Copywriting, Targeting
- 5.5RO2W 5.5 Analytics and Decision-Making with AI Insights
- 5.6RO2W 5. Quiz3 Questions
- 6. Building Your AI Stack5
- RO2W FinalQuiz1
RO2W 6. Quiz
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