Design, build, and scale autonomous AI systems with memory, tools, and multi-agent workflows
InstructorData Science AcademyComidoc has tracked 22 coupons for this course since 2026, last checked 10d ago. On average, a new coupon appears roughly every 10 days.
| Coupon code | Discount | Added | Status | Lifetime |
|---|---|---|---|---|
| OCTFREE02 | 100% off | Fully redeemed | 17d 17h | |
| SEPTFREE02 | 100% off | Expired | 30d 12h | |
| SEPTFREE01 | 100% off | Expired | 30d 12h | |
| SEPTFREE03 | 100% off | Expired | ~31 daysRan full term | |
| AUGFREE01 | 100% off | Expired | ~31 daysRan full term | |
| AUGFREE02 | 100% off | Expired | 30d 20h |
The curriculum covers essential agentic components such as planning, decision-making, and the distinction between short-term and long-term memory systems.
The syllabus includes a wide range of topics from single agent components to complex multi-agent orchestration and feedback loops.
Despite the inclusion of project-based modules in the syllabus, recent signals indicate a lack of practical examples or usable files.
Learner feedback suggests the instructional content may rely on text-heavy narration and suspected AI-generated audio/video rather than active teaching.
Score breakdown
The curriculum covers a wide range of architectural topics including memory, planning, and multi-agent communication.
While the syllabus lists specific projects, learner signals strongly suggest a lack of practical examples or hands-on files.
Recent signals indicate potential issues with instructional quality and the use of automated narration.
The available evidence does not establish enough about current reliability to move this dimension away from neutral.
The curriculum aligns with the stated goals of developers and AI enthusiasts interested in agentic systems.