Master the complete lifecycle of Generative AI products
Building production-ready GenAI applications requires more than just prompts
This comprehensive course covers everything from fundamentals to deployment.
Many developers struggle to bridge the gap between proof-of-concept and production-ready GenAI applications.
This practical course combines theoretical foundations with hands-on development to help you build real-world GenAI products that scale.
A tutored capstone project will help you build your portfolio.
Why this course?
- Comprehensive curriculum: From GenAI basics to design and deployment strategies and monitoring
- Capstone-based learning: Develop your portfolio project with instructor guidance
- AI-assisted homework: Weekly exercises supported by AI tools (2h estimated effort)
- Flexible schedule: Recorded classes and asynchronous content so you can learn at your own pace
- High quality education: the instructor has 10 years of experience as teacher, academic director and data scientist.
What you'll learn
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Introduction to Generative AI
- Brief history of GenAI
- Leading labs and their differences
- Cultural, memetic, social, and economic aspects
- Multimodality in AI
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Retrieval Augmented Generation (RAG)
- RAG fundamentals and applications
- Knowledge bases and fine-tuning
- Planning and memory usage
- Behavioral anomalies
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Building Automation and Agents
- Tool-augmented agents
- Use cases and risk mitigation
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Monitoring and Production
- GenAI monitoring best practices
- Cost optimization
- Cloud deployment
- GenAI security: prompt injection, data leaks, defenses
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Capstone: Personal Project Development
- Two-week guided project development
- Portfolio-ready implementation
What you'll get
- Weekly live and async sessions to practice and deepen your knowledge
- Weekly AI-assisted activities: Practical exercises with AI tools
- 18 recorded sessions: Watch at your own pace for two months
- Personal project tutoring to build your portfolio
Interested?
Instructor
Alejandro Vidal is a consultant in generative artificial intelligence. Professor and speaker on AI, product design and technology. He has 10 years of experience as teacher, academic director and data scientist with a strong background in cognitive science and AI.
Other inquiries
If you have any other questions, please contact me.