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Guided course

Cohort-based enrollment

Developer Code Assistant Mastery

Do not just autocomplete code. Learn to use AI like a serious engineer.

4 weeksBeginnerDeveloper AiRecording access for 90 days

4 weeks with Weekly live sessions with guided exercises so learners leave with become faster at coding, reviewing, testing, debugging and refactoring with ai..

Why this guided path works

One cohort, one rhythm, one stronger route into applied execution.

The value is not just live sessions. It is the combination of structure, workbook practice, reusable templates, and guided momentum across multiple focused weeks.

What you are really buying

  • 4 weeks of guided learning
  • Weekly live sessions with guided exercises with accountable rhythm
  • Materials that stay useful after each live session ends

What you will walk away with

AI coding workflow
Test generation workflow
Review checklist
Refactored module

What is included

  • Live cohort sessions
  • Guided exercises
  • Project practice
  • Templates and resources
  • Certificate of completion
  • Recording access for 90 days

4-week curriculum

Move through one focused live path with applied practice each week.

The course is structured around guided practice, reusable templates, and a practical capstone direction that helps you apply AI with more confidence.

What you will build or achieve

Become faster at coding, reviewing, testing, debugging and refactoring with AI.

  • Become faster at coding, reviewing, testing, debugging and refactoring with AI.
  • Generate unit tests for existing code
  • Refactor a messy module
  • Create API documentation
  • Build a small feature using AI

Who this is for

Built for learners who want a practical path instead of random AI tips.

  • developers
  • junior engineers
  • senior engineers adapting to AI tools

Week 1

LLMs for developers

Learn where coding assistants are useful, where they fail, and how to manage context like an engineer.

  • How code assistants think
  • Where AI helps and where it fails
  • Prompting for code tasks
  • Context management
  • Reading generated code critically

Exercise: Use AI to explain and improve an existing code module.

Week 2

Build, test and refactor with AI

Use AI to implement, test, refactor, and debug without giving up engineering ownership.

  • Feature implementation prompts
  • Unit test generation
  • Edge case discovery
  • Refactoring safely
  • Debugging with AI

Exercise: Generate and improve tests for an existing feature.

Week 3

Code review and architecture support

Apply AI to reviews, tradeoffs, documentation, dependencies, and legacy-code understanding.

  • AI-assisted code review
  • Security and dependency risks
  • Tradeoff analysis
  • API and documentation generation
  • Working with legacy code

Exercise: Review and refactor a module using AI.

Week 4

AI-assisted engineering workflow

Turn AI assistance into a repeatable engineering workflow you can trust and explain.

  • Developer productivity workflows
  • Pull request preparation
  • Test and release checklist
  • Avoiding blind trust
  • Personal coding assistant playbook

Capstone: Improve an existing project using AI coding assistants.

Capstone project

Improve an existing project using AI coding assistants.

You finish with course project work that matches the course promise and gives you a practical capstone direction.

Included with this course

  • Live cohort sessions
  • Guided exercises
  • Project practice
  • Templates and resources
  • Certificate of completion
  • Recording access for 90 days
Enroll to unlock full module details

Live cohort schedule

Upcoming cohort dates will be announced before the batch opens.

You can register interest now or ask about the next cohort. The schedule will be confirmed before payment or shown clearly on the checkout page.

Notify me when batch opensAsk about upcoming cohort

Course access

Live sessions, resources, and recordings stay organized in your learner account.

4 weeks of live guided learning. Weekly live sessions with guided exercises. Recording access for 90 days. Session recordings available in your learner account after each live session.

Learning duration

4 weeks of live guided rhythm

  • Weekly live sessions with guided exercises keep the cohort moving in one steady pattern
  • Live sessions are delivered across the guided cohort window
  • Upcoming cohort dates will be announced before the batch opens

Recording access

Recording access for 90 days

  • Recording access for 90 days. Session recordings available in your learner account after each live session.
  • Workbook, templates, notes, and examples stay inside your learner account after each live session
  • Recordings are view-only and available for the access window

Course promise

Use AI coding assistants properly without losing engineering quality.

Learner outcome

Become faster at coding, reviewing, testing, debugging and refactoring with AI.

Capstone direction

Generate unit tests for existing code

What this helps with

Choose this when you want one guided path, not another stack of disconnected AI content.

This course is for learners ready to stay with one focused live route and leave with better execution habits, stronger judgment, and reusable assets.

Who should choose this course

Choose it when you want one structured route that keeps you moving through a focused cohort.

  • developers
  • junior engineers
  • senior engineers adapting to AI tools

This is the better fit when the main need is guided structure, live accountability, and a calmer progression from the course promise into applied work.

Included in the cohort

The cohort includes the resources that keep the learning useful after each live session ends.

  • Live cohort sessions
  • Guided exercises
  • Project practice
  • Templates and resources
  • Certificate of completion
  • Recording access for 90 days

These assets exist so the cohort feels like a guided learning system, not just temporary live access.

FAQ

Common questions before you enroll.

Is coding required?

Yes. This course expects coding comfort because the project work includes technical implementation and review.

What if I miss a session?

Session recordings are available in your learner account after each live session. Recording access for 90 days.

Will recordings be available?

Yes. Recordings are view-only and available inside your learner account during the access window.

Will I get a certificate?

Yes. Learners who complete the required course work receive a certificate of completion.

Is this beginner-friendly?

Yes. The course is designed as a beginner-friendly live cohort with guided exercises and practice artifacts.

How is this different from watching free videos?

Free videos can teach isolated tips. This cohort gives you a sequence, guided practice, reusable resources, quality checks, and a practical capstone direction.

Learning approach

Practical learning, not passive watching.

The cohort is designed around guided practice, reusable templates, and review habits that help learners use AI with better judgment.

Guided practice

You apply concepts through structured exercises instead of only watching lectures.

Clear direction

Each session helps you move toward a practical workflow, prototype, or implementation direction.

Review mindset

You learn how to check AI output, improve it, and avoid blind trust.

Led by a practitioner

Practical AI training grounded in real work.

This program is designed from real AI product, automation and platform experience, with a focus on practical workflows, quality checks and production thinking.