Artificial Intelligence (AI)
Courses
- Generative AI and LLMs for Developers: How They Actually Work
- Open-Weight LLMs: Selection, Deployment, and Customization
- Deep Learning: Getting Started
- Docker for Local AI App Development: Build Lightweight, Containerized AI Applications
- Analytics Engineering for AI: From Data to Natural-Language Questions
- Advanced Prompt Engineering Techniques
- AI Fundamentals for Data Professionals
- AI Etiquette at Work: 7 Habits to Protect Professional Credibility
- AI Evaluations for Everyone: How Non-Engineers Can Build Better AI Systems with Humane Intelligence
- AI Model Basics
- Practical LLMs for Modern Data Science
- AI Essentials for Marketers: An Introduction by Adobe
- Communicating with Diplomacy and Discernment
- Learning with Agility in the Age of AI
- Developing a Learning Mindset in the Age of AI
- AI-Native Engineering Foundations
- AI Foundations for Creativity: Using Adobe Firefly and the Creative Cloud Ecosystem by Adobe
- Essential AI Governance: Bridging Responsible AI, Compliance, and Regulation
- AI Basics: What Every Professional Needs to Know
- Artificial Intelligence Foundations: Getting Started with Intelligent Systems
- AI Evaluations for Product Leaders and AI PMs
- AI Model Trends: The Latest You Need to Know
- Reinforcement Learning for LLM Alignment and Reasoning by Pearson
- Generative AI in Satellite and NTN: Connecting the Unconnected