Free AI Forward Course for Engineers
Use AI agents to increase engineering output without losing control of quality.
This free remote course teaches engineers how to delegate, review, and own AI-assisted work in real delivery environments.
Ship features at AI speed
Add Human Owned Quality & Oversight
Choose the Right Option
Start with the free remote course, or talk with us about enterprise training for your team.
Full Intensive
For engineering organizations that need deeper adoption across teams. 6-Day Onsite Intensive
Availability Moderate
Next Cohort
June
Free AI Forward Course
For individual engineers who want a practical introduction to Agentic Coding.
2-Day Online Course
Individual enrollment Open Now
Next Training
May 21th-22nd
Inside the Free 2-Day AI Forward Course
Each session teaches engineers how to use AI agents with discipline: delegate clearly, review critically, and stay accountable for the work that ships.
Day 1
Morning
Supervisory Engineering Foundations
Foundations, setup, and first working increment
- Delegate, review, own
- Mental models for AI
- Model and tool selection
- Fluency ≠ correctness
- Data posture awareness
Day 1
Day 2
Context Engineering & Trust Boundaries
Foundations, setup, and first working increment
- Write, select, compress, isolate
- Persistent instruction architecture
- CLAUDE.md, AGENTS.md, task templates
- Trust boundaries
- State management and handoffs
Day 1
Afternoon (Late)
Planning, Decomposition & Task Design
Foundations, setup, and first working increment
- Planning as an execution artifact
- Bounded, parallelizable units
- Interface-first work
- Delegation triage
- Task shaping and verification paths
Day 2
Morning (Early)
Operating Environment & Safety Harness
Foundations, setup, and first working increment
- Git worktrees, tmux, lane isolation
- Tests, linters, type checks
- Smoke checks and repro scripts
- Output validation
- Dependency and supply-chain discipline
Thursday
Day 4
Agents, tool use, and harness patterns
Foundations, setup, and first working increment
- Multi-lane execution
- WIP control and stop-the-line triggers
- Review craft and failure patterns
- Merge sequencing
- Clean-session reproducibility
Monday
Day 1
Capstone Exercise
Foundations, setup, and first working increment
- Triage realistic tasks
- Shape bounded lanes
- Launch parallel agent work
- Review generated output
- Reconverge and validate
What you get in practice
Ziverge teaches engineers how to use AI agents as supervised execution partners, so speed turns into reviewable, testable, production-ready work.
AI-Enabled Execution
Clear task shaping for AI agents
Better context handling across complex codebases
Parallel progress through isolated work lanes
Plan-first delegation before implementation
Faster path from idea to verified output
Merged with…
Engineering Ownership
Human review before anything ships Explicit ownership for AI-assisted changes Verification through tests, linters, and checks Safer execution through trust boundaries Clean reconvergence before merge
ZIVERGE CERTIFICATION
Z-Score Certification Levels
Take the course for free. Add paid certification to earn your Z-Score and prove how many AI-assisted work lanes you can supervise with production-level ownership.
Z2
2 Agents
Z3
Z4
Z5
Z6
Z7
Z8
8 Agents
Higher scores indicate greater supervisory capacity under the same standard: delegate clearly, review critically, verify the work, and own what ships.
Start building AI-forward engineering habits.
Take the free course to learn the operating model behind Agentic Coding: delegate clearly, review critically, and keep ownership where it belongs.
Or learn about embedding a Ziverge AI Forward Engineer into your team.
Practical course. Real delivery workflows. Human-owned quality.
Ziverge
+1 812 399 3622
1632 1st Ave #20831, New York, NY 10028
Copyright © 2020 - 2026. Ziverge, Inc. All Rights Reserved.
Free AI Forward Course for Engineers
Use AI agents to increase engineering output without losing control of quality.
This free remote course teaches engineers how to delegate, review, and own AI-assisted work in real delivery environments.
Ship features at AI speed
Add Human Owned Quality & Oversight
Choose the Right Option
Start with the free remote course, or talk with us about enterprise training for your team.
Free AI Forward Course
For individual engineers who want a practical introduction to Agentic Coding.
2-Day Online Course
Individual enrollment Open Now
Next Training
May 21th-22nd
Full Intensive
For engineering organizations that need deeper adoption across teams. 6-Day Onsite Intensive
Availability Moderate
Next Cohort
June
Inside the Free 2-Day AI Forward Course
Each session teaches engineers how to use AI agents with discipline: delegate clearly, review critically, and stay accountable for the work that ships.
Day 1
Morning
Supervisory Engineering Foundations
How should engineers think and make decisions?
- Delegate, review, own
- Mental models for AI
- Model and tool selection
- Fluency ≠ correctness
- Data posture awareness
Day 1
Afternoon (Early)
Context Engineering & Trust Boundaries
How to give agents context without losing control?
- Write, select, compress, isolate
- Persistent instruction architecture
- CLAUDE.md, AGENTS.md, task templates
- Trust boundaries
- State management and handoffs
Day 1
Afternoon (Late)
Planning, Decomposition & Task Design
How should engineers shape work for delegation?
- Planning as an execution artifact
- Bounded, parallelizable units
- Interface-first work
- Delegation triage
- Task shaping and verification paths
Day 2
Morning (Early)
Operating Environment & Safety Harness
How should engineers build safer execution systems?
- Git worktrees, tmux, lane isolation
- Tests, linters, type checks
- Smoke checks and repro scripts
- Output validation
- Dependency and supply-chain discipline
Day 2
Morning (Late)
Parallel Execution, Review & Converge
How should engineers run and merge parallel work?
- Multi-lane execution
- WIP control and stop-the-line triggers
- Review craft and failure patterns
- Merge sequencing
- Clean-session reproducibility
Day 2
Morning (Afternoon)
Capstone Exercise
How should engineers apply the full operating model?
- Triage realistic tasks
- Shape bounded lanes
- Launch parallel agent work
- Review generated output
- Reconverge and validate
What you get in practice
Ziverge teaches engineers how to use AI agents as supervised execution partners, so speed turns into reviewable, testable, production-ready work.
AI-Enabled Execution
Clear task shaping for AI agents
Better context handling across complex codebases
Parallel progress through isolated work lanes
Plan-first delegation before implementation
Faster path from idea to verified output
Merged with…
Engineering Ownership
Human review before anything ships Explicit ownership for AI-assisted changes Verification through tests, linters, and checks Safer execution through trust boundaries Clean reconvergence before merge
ZIVERGE CERTIFICATION
Z-Score Certification Levels
Take the course for free. Add paid certification to earn your Z-Score and prove how many AI-assisted work lanes you can supervise with production-level ownership.
Z2
2 Agents
Z3
Z4
Z5
Z6
Z7
Z8
8 Agents
Higher scores indicate greater supervisory capacity under the same standard: delegate clearly, review critically, verify the work, and own what ships.
Start building AI-forward engineering habits.
Take the free course to learn the operating model behind Agentic Coding: delegate clearly, review critically, and keep ownership where it belongs.
Or learn about embedding a Ziverge AI Forward Engineer into your team.
Practical course. Real delivery workflows. Human-owned quality.
Ziverge
+1 812 399 3622
1632 1st Ave #20831, New York, NY 10028
Copyright © 2020 - 2026. Ziverge, Inc. All Rights Reserved.