Learning Tracks
Built for the teams shipping AI, and the teams supporting them.
When it comes to AI training, every team is unique. That's why our programs are admin-curated, giving you complete flexibility and control over your team's learning journey; the pathways below are just the starting points.
Four examples of pathways through DeepLearning.AI, mapped to where your team is and where it needs to go.
Pathway example 1
AI foundations for engineering teams
Who it's for
Engineering teams whose developers use AI tools but haven't built with them yet.
The goal
Ground engineers in the underlying technology: what LLMs are doing, how prompting and retrieval work, what makes an agent reliable.
What learners take away
- A working understanding of how modern AI systems work end-to-end
- Practical fluency with prompting, retrieval, and basic agent patterns
- Judgment to evaluate AI outputs and choose the right approach
Pathway example 2
Production AI applications
Who it's for
Engineering and AI teams already shipping with AI and ready to go deeper on agents, evaluations, reliability and much more.
The goal
Move from prototypes to production. Build evaluable, reliable systems on top of leading models.
What learners take away
- Agentic patterns and multi-step workflows for production systems
- Evaluation frameworks that catch regressions before customers do
- Tool use, retrieval architectures, production discipline
Pathway example 3
AI for product, design, and leadership
Who it's for
PMs shipping AI features. Designers thinking through AI UX. Leaders making strategic AI calls.
The goal
Build the AI judgment to evaluate capabilities, prototype quickly, and make informed build-versus-buy decisions.
What learners take away
- A clear mental model of what current AI can and can't do
- The ability to scope AI features and partner credibly with engineering
- Strategic context for the AI landscape and where it's going
Pathway example 4
Workforce-wide AI fluency
Who it's for
Organizations bringing AI fluency to non-technical teams: marketing, finance, operations, HR, leadership.
The goal
Get every team using AI tools effectively, with shared vocabulary and shared judgment about what to delegate to AI and what not to.
What learners take away
- Practical fluency with the AI tools in their daily workflow
- Prompting fundamentals that work across whatever AI tool the org adopts next
- AI judgment: when to trust, when to verify, when to escalate
AI moves weekly. So does the catalog.
Whichever pathway your team starts with, the rhythm is the same: new courses ship almost every week and every release is included in your subscription. Your training keeps pace with the field, not with an annual procurement cycle.
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