AIAdoption.

Learning paths

Pick a destination, then follow the sequence

Three paths. Each one lists the order of skills, the courses that cover them, and the roles they prepare you for.

4–6 months, depending on weekly hours

AI Engineer

From Python fluency to production agents

A sequenced path for people who want to build RAG systems and AI agents, then talk about that work in interviews. Each step maps to a course, a lab, or a portfolio artifact.

  1. 1. Python
  2. 2. Machine Learning orientation
  3. 3. Generative AI
  4. 4. RAG
  5. 5. LangChain
  6. 6. AI Agents
  7. 7. Deployment
  8. 8. Interview & placement

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3–5 months

Salesforce AI

Admin craft plus Agentforce

For people who want CRM careers with an AI edge. You learn Administrator fundamentals first, then Agentforce, then package the work for certification and interviews.

  1. 1. Salesforce Admin
  2. 2. Flow
  3. 3. Reports
  4. 4. Agentforce
  5. 5. AI projects
  6. 6. Certification
  7. 7. Placement

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2–4 months

Business AI

Prompting, Copilot, and workplace automation

A non-engineering path for people who need AI inside Microsoft 365 and day-to-day operations. You leave with a portfolio of documented workplace improvements, not a GitHub monorepo.

  1. 1. Prompt engineering
  2. 2. Copilot
  3. 3. Power Automate
  4. 4. Business AI
  5. 5. Portfolio
  6. 6. Interview
  7. 7. Placement

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