DataNova Academy Learning Path
AI Engineering
Design and deliver production-ready AI systems with grounding, evaluation, agents, and enterprise architecture patterns.
Course Preview
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This learning experience is currently in development.
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What You'll Learn
- Large language model application patterns
- Retrieval-Augmented Generation (RAG) architectures
- Microsoft AI Foundry for enterprise AI delivery
- AI Agents, orchestration, and tool use
- Prompt engineering for reliable outcomes
- Evaluation, monitoring, and production readiness
Who It's For
- Software and AI engineers
- Solution architects
- Technical professionals building AI products
- Teams moving from prototypes to production AI
Skills You'll Gain
- Enterprise AI application design
- RAG and knowledge grounding
- Agent-based solution patterns
- Azure AI service integration
- Responsible production practices
Prerequisites
- Comfort with cloud or software fundamentals
- Basic Python familiarity recommended
- Curiosity about enterprise AI systems
Expected Learning Outcomes
- Design grounded enterprise AI assistants
- Implement RAG and agent workflows
- Apply evaluation and operational controls
- Communicate AI architecture decisions clearly
FAQ
Frequently Asked Questions
Is this path for beginners?
This path is positioned as Advanced. Beginners can start with related foundations and return when ready for production AI engineering.
Will this include Microsoft AI Foundry?
Yes. Microsoft AI Foundry and enterprise Azure AI patterns are central to the learning experience.
When does enrollment open?
This learning experience is currently in development. Join the waiting list to be notified when enrollment opens.
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