AI & Generative AI
Applied AI & Generative AI: Practice Lab
Build and evaluate a retrieval-augmented assistant using a curated knowledge base.
Program overview
Build and evaluate a retrieval-augmented assistant using a curated knowledge base.
The program combines live instruction, guided exercises, and review of your work. Discuss its fit for your level and objectives before enrollment.
Who should attend?
- Developers & analysts
- Business professionals
- Career switchers
Prerequisites
Familiarity with the field’s foundations and core tools, or completion of a relevant foundation program.
Learning objectives
- Understand and apply core concepts in Python.
- Understand and apply core concepts in Generative AI.
- Understand and apply core concepts in Machine Learning.
- Understand and apply core concepts in Responsible AI.
Program outline
1. Generative AI & prompting
Core concepts, a guided exercise, and review of decisions and results. A detailed syllabus is confirmed in the program proposal.
2. Applied AI & machine learning
Core concepts, a guided exercise, and review of decisions and results. A detailed syllabus is confirmed in the program proposal.
3. Guided practice and feedback
Core concepts, a guided exercise, and review of decisions and results. A detailed syllabus is confirmed in the program proposal.
4. Present your project and next steps
Core concepts, a guided exercise, and review of decisions and results. A detailed syllabus is confirmed in the program proposal.
Hands-on experience
Build and evaluate a retrieval-augmented assistant using a curated knowledge base.
Instructor & certification preparation
The assigned practitioner’s profile will be added when the cohort is confirmed. No instructor profile has been published for this sample.
This example does not include a vendor exam or certification. Review certification preparation programs separately when available.
Let’s talk about your next step
Share your goal so we can discuss a learning path that fits.
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