Learning PathComplete
LinkedIn Learning · Microsoft and LinkedInOct 1–4 · 4 hrs
- Generative AI
- AI literacy
- Responsible AI
- +2 more topics
October–December 2026
My AI Learning Journey
A hands-on curriculum across AI fundamentals, generative AI, agents, RAG, tools, and multi-agent systems. Along the way, I’m also studying how different learning platforms teach technical topics.
The goal isn’t to collect badges. Every major learning experience should result in something I understand, test, build, or apply.
Learning as a student, observing as a learning designer.
01 / Progress
Where the journey stands
Every number here is calculated from the curriculum data. Progress is weighted by estimated hours, so a 20-hour course counts for more than a 90-minute one.
5%of curriculum completed
4 / 84.8 hours
- Courses & Pathsof 14 complete
- 1
- Platforms Exploredof 8 platforms
- 1
- Learning Hoursof 84.8 planned
- 4
- Credentials Earnedof 3 planned
- 0
- Hands-On Buildsof 4 complete
- 0
02 / Roadmap
October to December
Three phases, one route. Larger stops are milestones: credentials and the capstone. Select any stop for details.
17 learning experiences
OctoberFoundations
Concepts, vocabulary, and the Microsoft AI stack.
AI literacy, then Generative AI, then Microsoft AI, then AI-901
NovemberAgents
Tools, workflows, and systems that act.
Applied Skills, then Agentic workflows, then Tool use, then MCP, then Planning, then LangGraph, then Multi-agent systems
DecemberBuild
Frameworks, retrieval, and a capstone.
Agent frameworks, then RAG, then Open-source ecosystem, then Platform comparison, then Capstone
03 / Curriculum
Courses and credentials
Each card opens the full record: why it’s in the plan, what I learned, what I built, and how the platform taught it.
OctoberFoundations
- CoursePlannedLinkedIn Learning · Anthropic
Oct 5–11 · 1.6 hrs
- Claude
- Prompting
- Projects
- +1 more topics
- CoursePlannedLinkedIn Learning
Oct 5–11 · 2 hrs
- Artificial intelligence
- Machine learning
- Generative AI
- +1 more topics
- Learning PathPlannedMicrosoft Learn
Oct 12–18 · 4 hrs
- AI concepts
- Generative AI
- Agents
- +5 more topics
- Learning PathPlannedMicrosoft Learn
Oct 19–25 · 6 hrs
- Microsoft Foundry
- Generative AI
- Agents
- +3 more topics
- Certification PrepPlannedMicrosoft AI Skills Navigator
Oct 26–29 · 4 hrs
- AI concepts
- Microsoft Foundry
- Responsible AI
- +2 more topics
- CertificationPlannedMicrosoft
Oct 30–31 · 2 hrs
- AI fundamentals
- Microsoft Foundry
- AI applications
Credential
NovemberAgents
- Applied SkillPlannedMicrosoft Learn
Nov 2–8 · 4 hrs
- Microsoft Foundry SDK
- AI agents
- Built-in tools
- +2 more topics
Credential - CoursePlannedCoursera · DeepLearning.AI
Nov 9–22 · 20 hrs
- Agentic workflows
- Reflection
- Tool use
- +5 more topics
Linked build - CoursePlannedDeepLearning.AI
Nov 23–25 · 1.5 hrs
- LangGraph
- Agents
- Persistence
- +2 more topics
Linked build - CoursePlannedDeepLearning.AI
Nov 26–29 · 2.7 hrs
- CrewAI
- Multi-agent systems
- Role specialization
- +1 more topics
Linked build
DecemberBuild
- Learning PathPlannedPluralsight
Nov 30–Dec 6 · 7 hrs
- Agent frameworks
- Multi-agent systems
- Evaluation
- +3 more topics
- CoursePlannedHugging Face
Dec 7–13 · 6 hrs
- Agent fundamentals
- Tools
- Reasoning
- +3 more topics
- CredentialPlannedHugging Face
Dec 13
- Agent fundamentals
Credential - CoursePlannedHugging Face
Dec 14–20 · 5 hrs
- Agentic RAG
- Retrieval
- Knowledge
- +2 more topics
Linked build - CoursePlannedUdemy
Dec 21–27 · 5 hrs
- OpenAI Agents SDK
- CrewAI
- LangGraph
- +2 more topics
- CapstonePlannedIndependent
Dec 28–31 · 10 hrs
- RAG
- Agents
- Tools
- +4 more topics
Milestone Linked build
04 / Field notes
Learning the Learning Platforms
Part of this experiment is comparing how different platforms teach technical skills. I’m tracking the learning design, practice, assessment, feedback, and overall learner experience as I go.
Observations, not a ranking. Platforms stay in a fixed order and averages include finished courses only.
LinkedIn Learning
Short, professionally produced video courses and paths, including vendor-created AI training.
- In plan
- 3
- Completed
- 1
- Hours
- 4
Average ratings
Evaluation pending.
My take
Evaluation pending.
Courses on this platform
Microsoft Learn
Microsoft’s free, modular learning paths, sandboxes, and Applied Skills assessments.
- In plan
- 3
- Completed
- 0
- Hours
- 0
Average ratings
Evaluation pending.
My take
Evaluation pending.
Courses on this platform
Microsoft AI Skills Navigator
Microsoft’s guided AI skilling experience, used here for certification practice and review.
- In plan
- 1
- Completed
- 0
- Hours
- 0
Average ratings
Evaluation pending.
My take
Evaluation pending.
Courses on this platform
Coursera
University and industry courses with graded assignments and certificates.
- In plan
- 1
- Completed
- 0
- Hours
- 0
Average ratings
Evaluation pending.
My take
Evaluation pending.
Courses on this platform
DeepLearning.AI
Short, practitioner-focused courses built with AI framework and model providers.
- In plan
- 2
- Completed
- 0
- Hours
- 0
Average ratings
Evaluation pending.
My take
Evaluation pending.
Courses on this platform
Pluralsight
Structured technical skills paths for developers and technology teams.
- In plan
- 1
- Completed
- 0
- Hours
- 0
Average ratings
Evaluation pending.
My take
Evaluation pending.
Courses on this platform
Hugging Face
Open-source, community-oriented courses built around notebooks and open libraries.
- In plan
- 3
- Completed
- 0
- Hours
- 0
Average ratings
Evaluation pending.
My take
Evaluation pending.
Courses on this platform
Udemy
A marketplace of instructor-created courses of varying scope and style.
- In plan
- 1
- Completed
- 0
- Hours
- 0
Average ratings
Evaluation pending.
My take
Evaluation pending.
Courses on this platform
05 / Evidence
Learning by Building
Courses connect to small, testable builds. Each one is a way to check whether I actually understood what I studied.
- BuildPlanned
Agent Tool-Calling Experiment
A small agent that calls external tools and functions and explains its decisions.
- Tools
- APIs
- Agent loops
Reflection
Written after the build is finished.
Related learning
- BuildPlanned
LangGraph Agent
Rebuild a simple agent using LangGraph and compare the architecture with a basic LLM workflow.
- LangGraph
- Persistence
- State
- Human-in-the-loop
Reflection
Written after the build is finished.
Related learning
- BuildPlanned
Multi-Agent Experiment
Build a small workflow using specialized agents with different responsibilities.
- CrewAI
- Orchestration
- Delegation
- Multi-agent systems
Reflection
Written after the build is finished.
Related learning
- Build · CapstonePlanned
Technical Content Health Agent
Use documentation, release notes, and learning content as a knowledge base. Retrieve relevant information, identify potentially stale or inconsistent content, explain the concern, recommend an update, and require human approval before producing changes.
- RAG
- Agents
- Retrieval
- Evaluation
- Human-in-the-loop
- Technical content
Reflection
Written after the build is finished.
Related learning
06 / Destination
The capstone
Dec 28–31 · 10 hrs
PlannedTechnical Content Health Agent
Use documentation, release notes, and learning content as a knowledge base. Retrieve relevant information, identify potentially stale or inconsistent content, explain the concern, recommend an update, and require human approval before producing changes.
- 01
Retrieve
Find relevant docs, release notes, and learning content.
- 02
Detect
Flag content that may be stale or inconsistent.
- 03
Explain
Say why it looks wrong, with sources.
- 04
Recommend
Propose a specific update.
- 05
Approve
A human reviews before anything changes.
Why this project: keeping technical content accurate at scale is a problem I’ve worked on for years, including an AI system for technical content. The capstone tests how far agents, retrieval, and a human approval step can take it.
07 / Reflection
What I’m Learning About Learning
One of my goals with this curriculum is to pay attention to the learning experience itself. How quickly does a platform get learners doing something? How authentic is the practice? How useful is the feedback? How well do assessments measure actual capability? Those questions are part of the curriculum too.
Recent platform notes
Platform notes will appear here as courses are finished and evaluated.
Learning as I build, and building as I learn.
See what I’m building