About this course
Build a conceptual foundation for AI agents, memory and multi-agent collaboration with this free IBM video course. The learning path starts with agent terminology and moves into roles, orchestration, decision-making and evaluation. It also addresses hallucinations, scaling limits and the need for human oversight.
What you can learn
- Agent architecture
- Agent memory
- Multi-agent systems
- Task orchestration
- Human oversight
- Agent evaluation
Course at a glance
| Provider | IBM |
|---|---|
| Platform | YouTube · IBM Technology |
| Access | Free Video |
| Level | Intermediate — WikiFree audience assessment |
| Language | English |
| Selected lessons | 59 |
| Video duration | 11h 16m · allow extra time for reflection and practice |
| Details checked | 9 October 2026 |
Inside the course
Distinguish agents from assistants and fixed business rules. Explore memory types, hierarchical teams, A2A communication and decision agents, then examine explainability, research workflows and model customization.
Try this learning exercise
Outline a research assistant with planner, researcher and reviewer roles. Specify what each role can remember, when it hands off work, how you will evaluate the final answer and which actions require human approval.
How to follow the course
Choose a lesson from the list or search for a specific topic. Use Previous and Next to continue, and mark lessons complete as you go. Progress is saved in this browser without a WikiFree account.
Each course retains its relevant lessons, including videos also used in another course. Numbered series follow their original lesson or part order. Only reviewed advertisements, unrelated items and identical repeated playlist entries are excluded. Source recordings may have been made at different times.
Unavailable recordings are listed in Course content. Known lesson titles are retained; when the source hides a title or position, this is stated explicitly. Unavailable videos are not included in the video duration.
Free access, requirements and certificates
The selected public YouTube videos are free to watch. No paid subscription, payment card or examination is required for this video learning path. WikiFree independently organizes IBM Technology explainers and tutorials for self-paced study. This listing is not an official IBM qualification and does not include an IBM certificate, graded assignment or instructor feedback.
Basic LLM and application concepts are useful. This is an architecture learning path; it does not include a deployed agent service or graded coding assignment.
Official IBM Technology playlist source ↗
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- Review a lower-level optionBuild Multi-Agent Systems with ADK and MCP: Free Google Instruction
Focus: Agent responsibility design · Multi-agent orchestration literacy
Beginner - Compare another approachManage Agent Memory and State: Free Google Course
Focus: Session-state concepts · Instruction templating
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Beginner
Compare course focus, level and study time
| Course | Level | Focus | Study time |
|---|---|---|---|
| This course — Free AI Agents Course: Memory and Multi-Agent Systems | Intermediate | Agent architecture · Agent memory · Multi-agent systems | 11h 16m of video; practice time is additional |
| Build Multi-Agent Systems with ADK and MCP: Free Google Instruction | Beginner | Agent responsibility design · Multi-agent orchestration literacy · MCP integration concepts | 30 minutes; provider full-course estimate including practical activities; instruction-only study time may differ. |
| Manage Agent Memory and State: Free Google Course | Intermediate | Session-state concepts · Instruction templating · Persistence reasoning | 45 minutes; official estimate, individual study time varies. |
| Free AI Agents Course: Build Intelligent Applications | Beginner | AI agents · Agent frameworks · Tool use | 3h 11m of video; practice time is additional |
Provider: IBM. Videos play from the IBM Technology channel on YouTube.
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