▶ Watch on Figure ↗Official external demo · not an Athrexai lab or partnership.
Practical AI skills for the work you do.
From business workflows to agents and deployment.


AI-generated artwork · external YouTube video.
Choose the work you want to do.
We’ll help you find the learning path.
See how vision, language and control come together in a real robotics demonstration. Then explore the foundations behind AI systems in your learning path.
▶ Watch on Figure ↗Official external demo · not an Athrexai lab or partnership.
Enterprise AI Tools · 20 November 2026
Generative AI with Agents · 2 December 2026
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Explore models, vector search, agents, automation, and AI platforms. Start with the task, then choose the tools that fit your data and requirements.
No tools match your search. Try another name or clear the filters.
Logos and names belong to their respective owners. This is a learning reference, not an endorsement, partnership, or a list of integrations running inside Athrexai. Exact lab tools vary by course; third-party subscriptions and usage costs may be separate. Links open official product websites or project repositories.
Content inventory checked 24 October 2026: Generative AI with Agents (89 lessons / 16 modules) and Enterprise AI Tools (111 lessons / 20 modules). These counts describe materials, not learner outcomes.
Watch a visual introduction, explore a practical workflow, and start with a small project you can explain.
An external introduction to LLM concepts. This is IBM’s video, not an Athrexai course recording or endorsement. Clicking loads YouTube; playback depends on its availability and privacy terms.
Watch directly on YouTube ↗Explore the target roles and suggested experience before comparing course details. Experience ranges are guidance; practical prerequisites matter more than a job title.
| Program | Target roles | Suggested experience | Planned duration |
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FDE is a planned launch; its full syllabus and fee are forthcoming. Four months describes the proposed course plan, not guaranteed completion or employment. Confirm cohort-specific delivery and access terms before payment.
Not ready to choose? Inspect a lesson and project brief first.
Try the free sample lesson ↗Five focused tracks, with roles and prerequisites to help you choose
Learn to connect knowledge, models, and tools. Build workflows you can explain, test, and improve.
Explore Generative AI with Agents
Choose a scenario, then explore each step.
Classify a synthetic customer question and draft a reply. Keep refunds, account changes, and sensitive requests behind human approval.
Deliverable: a task definition, allowed actions, and escalation rules.
Illustrative architecture · tool choices depend on your requirements.
Explore project briefs across 14 industries. Practice choosing useful AI tasks, testing against a baseline, and explaining where a person needs to stay in the loop.
Learning scenarios using synthetic or approved data. Company references do not imply endorsements or production deployments.
Pick a direction. Build the evidence.
Prepare to explain your work in an interview.
Four months is a suggested preparation sequence; pace, prerequisites and course support vary. Job links show external search results. Employment and salary outcomes are not guaranteed.
Read the syllabus and choose a course aligned with your current skills and goals.
Use the learning materials and exercises included in your confirmed course plan.
Review the course-specific completion and certificate requirements before enrolling.
Use your project and test results to explain what you can build. Employment outcomes are not guaranteed.
Learner profiles · draft feedback is awaiting learner approval
Talk with Mahi about your experience, goals, and learning time. Explore a starting plan, or use the Career Risk hub to reflect on your current tasks and skills.
Guided mode is available now. Live AI replies need a configured provider. Career suggestions do not guarantee employment.
Yes. The free Enterprise AI Tools sample lesson and its project brief are public. They use synthetic data, require no payment, and show the approach to source-checking and practice.
It depends on the path. Enterprise AI Tools includes no-code and low-code topics, while agent-building and deployment work may require Python, APIs, or cloud experience. Read the course prerequisites and ask the team about the expected starting level before enrolling.
The logos identify tools to explore, not bundled subscriptions or integrations. Exact lab tools vary by course. Third-party accounts, licenses, cloud usage, and API costs may be separate; confirm these before purchase.
Ask for the specific cohort timetable, named instructor, recording availability, and access period before paying. The international learner checklist shows your device time zone and explains what to confirm. A cohort start date alone is not a session timetable. These five programs have a planned four-month duration; confirm pacing and access terms for your cohort.
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New purchases do not include standard change-of-mind refunds. The Refund Policy covers available remedies for payment errors, non-delivery, cancellation, and qualifying service problems. Courses and career guidance do not guarantee employment or salary; the homepage learner-story cards are labelled demos.