Solution · Training

Make AI a skill your team can use.

Help executives make better AI decisions and developers build with confidence. TensorLearn brings practical workshops, live exercises inside Claude Code and certification preparation into one learning journey.

Plan training for your team Explore TensorLearn
Executives & developersLive Claude Code exercisesCertification preparation
TensorOps colleagues gathered around laptops
Hands-on learning, close to the work. TensorOps team photography.
What becomes possible

Different roles. The same ambition: put AI to work.

01

Training for executives

Understand what AI can achieve, choose useful opportunities and ask the right questions about value, cost, data and risk. Leave with priorities your organization can act on.

02

Training for developers

Work through live exercises inside Claude Code. Build and evaluate real workflows with an instructor, practice context and tool use, and learn to review AI-generated changes.

03

Certifications & preparation exams

Follow certification pathways and practice with scenario-based preparation exams. Use feedback to find knowledge gaps and focus your next study session.

Learn where the work happens

Live exercises.
Inside Claude Code.

Illustrative instructor-led exercise
TensorLearn / developer workshopClaude Code

❯ Build an agent that checks a specification against requirements.

01 Understand the code and define a testable outcome.

02 Implement with Claude Code. Inspect tool calls and changes.

03 Evaluate the result. Discuss the tradeoffs with your instructor.

Real toolsInstructor feedbackPractice you can use at work
Design direction for review

Replace this illustrative exercise with an approved workshop recording or screenshot when available. A future progress visualization should use real learning outcomes rather than invented completion statistics.

Choose your learning path

A program built around your team.

Leadership

Executive workshops

Connect AI capabilities to business decisions through guided discussions and practical prioritization.

  • AI strategy and opportunity mapping
  • Data readiness and operating boundaries
  • A shared language for leadership and engineering
Agreed around your leadership goalsDiscuss this engagement
Hands-on

Developer workshops

Instructor-led learning that takes place in the development environment your team uses.

  • Live exercises within Claude Code
  • Agent workflows, tests and evaluation
  • Feedback on implementation and tradeoffs
Adapted to your team’s experienceDiscuss this engagement
Certification

TensorLearn preparation

Structured practice to prepare for professional AI certifications and reinforce what you learned.

  • Preparation exams and explanations
  • Scenario-based questions
  • Targeted study from practice feedback
Self-paced preparation and team programsDiscuss this engagement

Build the skills behind your AI ambition.

Tell us who you want to train and what they need to do. We’ll shape the workshops, exercises and preparation around that outcome.

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