user@codeleap: ~

$ $ sudo master --ai-development

// Boot sequence initiated... Loading AI mastery modules.

SPEED_BOOST=55%SATISFACTION=96%COMPANIES=150+

$ Enroll Now $ Learn More

Tools You'll Master

GHGitHub Copilot

CLClaude

CRCursor

GPChatGPT

DVDevin

WSWindsurf

CXCodex

HFHugging Face

LCLangChain

V0Vercel v0

MCMCP

VSVS Code

GHGitHub Copilot

CLClaude

CRCursor

GPChatGPT

DVDevin

WSWindsurf

CXCodex

HFHugging Face

LCLangChain

V0Vercel v0

MCMCP

VSVS Code

This course is built for developers who live in the terminal and want to bring AI into that environment natively. You will learn to use AI tools directly from the command line — including Claude Code, GitHub Copilot CLI, and shell-based automation scripts — to accelerate every phase of the development workflow. The focus is on practical, keyboard-driven AI integration that fits into the workflows serious developers already use.

Who Is This For?

Linux and Unix developers who prefer the terminal over IDEs and want AI tools that match that preference

DevOps and platform engineers looking to automate infrastructure tasks with AI-assisted shell scripting

Full-stack developers who want to speed up code generation, debugging, and refactoring from the CLI

Developers already using tools like Vim, tmux, or Zsh who want AI capabilities without leaving that environment

What You Will Learn

Use Claude Code and GitHub Copilot CLI to generate, explain, and refactor code directly from the terminal

Write AI-assisted Bash and Python scripts that automate repetitive DevOps and development tasks

Build CLI tools powered by language models that can parse arguments, call APIs, and format output

Integrate AI code review and testing workflows into Git hooks and CI/CD pipelines

Manage AI API credentials, rate limits, and cost controls securely from the command line

Industry Insights

73%

of professional developers use the command line daily as a primary interface, making CLI-native AI tools a high-value productivity investment

45 min

average time saved per day by developers using AI CLI tools for code generation and explanation tasks, based on internal productivity tracking studies

38%

reduction in time spent on infrastructure automation tasks when DevOps engineers use AI-assisted shell scripting compared to manual approaches

“I automated three hours of weekly infrastructure work in my first week after the course. Using Claude Code from the terminal to generate and review Terraform modules changed how I approach every new infrastructure task.”
R
Ravi Krishnamurthy
DevOps Engineer, cloud infrastructure team

Frequently Asked Questions

Do I need to be a Linux expert to take this course?

You need basic Linux comfort — navigating directories, running commands, and editing files. You do not need to be a system administrator. The course includes a CLI foundations refresher in week one for students who need it.

Does this course cover Windows users working with WSL?

Yes. The course includes a dedicated module on setting up and using AI CLI tools inside Windows Subsystem for Linux. All examples work in both native Linux and WSL environments.

How is Claude Code different from GitHub Copilot CLI?

Claude Code is an agentic coding assistant that can read your codebase, make changes across multiple files, and run tests — it operates more like an autonomous collaborator. Copilot CLI is more focused on single-command suggestions and completions. The course covers both and shows when to use each.

Developer Experience

Claude Code in Action

Watch an AI agent build a complete REST API from a single prompt — plan, code, and test in seconds.

claude — ~/projects/rest-api

Explorer

project/

src/

package.json

Claude CodeReady

TypeScriptzsh

Before & After AI

Startup-Speed Superpowers

Move fast, break nothing. AI tools that match your startup pace.

6x faster

Before

Spend 3 hours writing boilerplate CRUD code

After AI

Generate entire API endpoints in 30 seconds

90% faster debug

Before

Debug for hours by reading stack traces and console logs

After AI

AI pinpoints root cause and suggests exact fix in seconds

Ship 10x faster

Before

Complex deployments require DevOps expertise and hours

After AI

One-command deployments with AI-powered quality checks

10x faster integrations

Before

Read API docs for hours, write integration code manually

After AI

AI generates type-safe API clients from OpenAPI specs instantly

100% coverage

Before

Write tests one by one, often forgetting edge cases

After AI

Generate comprehensive test suites with full edge case coverage

Zero manual docs

Before

Manually write docs, READMEs, and API references

After AI

Auto-generate accurate documentation from code context

10xFaster prototyping

85%Fewer bugs shipped

1 weekTime to MVP

Real-World Portfolio

Ship Faster: Projects Built for Startup Speed

Build MVPs and production features at 10x the speed of traditional development

10x faster

than manual coding

AI SaaS Platform

Build a full-stack SaaS app with AI-powered features, user auth, Stripe payments, and a dashboard — in under a week.

Next.jsClaude APIPrismaStripe

3 agents

working in parallel

Multi-Agent System

Orchestrate multiple AI agents that research, plan, code, and test together — like having a virtual engineering team.

MCPAgent SDKPythonFastAPI

24/7

intelligent support

AI Customer Support

Deploy a RAG-powered chatbot that answers questions using your docs, escalates edge cases, and learns from every interaction.

RAGEmbeddingsVector DBReact

5+ tools

in your toolkit

Dev Productivity Suite

Create your personal AI toolkit — code generators, refactoring helpers, documentation writers, and test generators all in one CLI.

CLIClaude CodeNode.jsMCP

Real-time

collaboration

Real-Time Collaboration Tool

Build a multiplayer coding environment with AI pair programming, live cursors, and intelligent conflict resolution.

WebRTCCRDTClaude APIReact

60%

faster deployments

Smart CI/CD Pipeline

Build a deployment pipeline with AI quality gates that auto-review code, run intelligent test selection, and predict failures.

GitHub ActionsAI GatesJestK8s

Start building today

Interactive Comparison

See the AI Difference

Drag the slider to compare manual vs AI-powered workflows

Before: Manual Process

1function

2fetchUserData

4id

5) {

7 var url = "https://api.example.com/users/" + id;

8 var response = null;

9 var data = null;

11 // No error handling at all

12 response = fetch(url);

13 data = response.json();

15 // Manual string building

16 var name = data.first + " " + data.last;

17 var info = "Name: " + name + ", Age: " + data.age;

18 console.log("Got user: " + info);

20 return data;

21}

After: AI-Powered

1interface

2User

3 {

4 id: string; name: string; age: number;

7async function

8fetchUser

9(id: string): Promise<User> {

10 try {

11 const res = await fetch(`/api/users/${id}`);

12 if (!res.ok) throw new Error(`HTTP ${res.status}`);

13 const user: User = await res.json();

15 // AI: Structured logging with context

16 console.info({ event: 'user.fetched', userId: id });

17 return user;

18 } catch (err) {

19 console.error({ event: 'user.error', userId: id, err });

20 throw err;

21 }

22}

Use arrow keys or drag the handle to compare

Course Length

8-Week Curriculum

From AI fundamentals to building production-ready AI features. Hands-on every week.

1/8

Week 1

Click weeks to explore

13% explored

Week 1 of 8

The AI-Powered Developer: Landscape & Foundations

The 2026 AI coding landscape - from vibe coding to agentic engineering

Understanding LLMs: how GPT, Claude, and Gemini generate code

The Plan-Act-Check framework for reliable AI coding results

Live demo: Building a full app with Claude Code in 30 minutes

1 / 8

Portfolio Projects

3 Portfolio-Ready Capstone Projects

Ship production-grade apps that showcase your AI skills to employers and clients.

Core Project

Full-Stack SaaS App with AI Pair Programming

Build a complete SaaS application using vibe coding techniques. Use Cursor Agent and Claude Code for 70%+ of development. Maintain a detailed AI interaction log showing your orchestration decisions.

Vibe CodingAI Pair ProgrammingCursor AgentClaude CodeFull-Stack Development

AI Integration

AI-Powered Code Quality Pipeline

Take a legacy codebase and transform it: generate comprehensive test suites, find and fix security vulnerabilities, produce documentation, and build a CI/CD pipeline with AI-powered quality gates.

AI TestingSecurity AuditingCI/CD IntegrationCode ReviewDocumentation Generation

Capstone

AI-Native Application Capstone

Build and deploy an AI-native application with LLM integration, RAG pipeline, and MCP connections. Demonstrate multi-agent orchestration, proper testing, and production deployment.

LLM API IntegrationRAG PipelinesMCPMulti-Agent OrchestrationProduction Deployment

Expert Instruction

Meet Your Instructor

Alex Petrov

Lead AI Engineering Instructor

Former Staff Engineer at Google, 12+ years in software engineering. Built AI-powered developer tools used by 50,000+ engineers. Specializes in agentic engineering, vibe coding, and AI-native development workflows.

Google Staff Engineer (2016-2023)

AWS Certified ML Specialty

Published AI researcher

Open-source contributor to LangChain & AutoGen

4.9

What Our Graduates Say

Join 2,500+ developers who have transformed their careers with AI skills.

“This bootcamp completely transformed how I write code. I went from spending hours debugging to having AI catch issues in seconds. The agentic engineering module alone was worth the investment.”

Sarah Chen

Senior Developer at Stripe

“The hands-on approach with Cursor IDE and Claude Code gave me practical skills I use every single day. My team noticed the productivity boost within the first week.”

Marcus Johnson

Full Stack Engineer at Vercel

“I was skeptical about AI coding tools, but this course showed me the right way to use them. The MCP and multi-agent modules were incredibly practical.”

Aisha Patel

Tech Lead at Shopify

“Best investment in my career in years. The curriculum is perfectly paced and the capstone projects gave me real portfolio pieces to show.”

David Kim

Software Architect at Microsoft

“Alex is an incredible instructor. His real-world experience at Google shows in every lesson. The prompt engineering module was a game-changer for my workflow.”

Elena Rodriguez

Backend Developer at AWS

“From zero AI experience to building production-ready features in 8 weeks. The CI/CD integration with AI quality gates is now a standard in our team.”

James O'Brien

DevOps Engineer at GitHub

Invest in Your AI-Powered Future

Join thousands of developers who have transformed their careers. 14-day money-back guarantee.

Early Bird

$997$1997

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8 weeks of live classes
3 capstone projects
Community Slack access
Session recordings
Certificate of completion

Frequently Asked Questions

Everything you need to know before enrolling.

No! This bootcamp is designed for professional developers with zero AI experience. We start from the basics and build up to agentic engineering.

Familiarity with any mainstream language (Python, JavaScript, Java, etc.) is sufficient. Most examples use Python and TypeScript, but AI tools work across all languages.

No - and that's the entire point. AI is a productivity multiplier, not a replacement. Developers who master agentic engineering become 10x more valuable. We teach you to orchestrate AI, not compete with it.

Claude Code, Cursor IDE, GitHub Copilot, Devin, Windsurf, Codex, Vercel v0, and more. Plus frameworks like LangChain and protocols like MCP.

2-4 hours of live classes per week for 8 weeks, plus time for projects and homework. Most students spend 6-10 hours total per week including independent practice.

Yes, upon successful completion of all three projects, you receive a CodeLeap AI-Powered Software Engineering certificate that you can add to LinkedIn and your resume.

Both! We offer individual enrollment and discounted corporate team packages (5+ seats at $997/person). Contact info@codeleap.ai for team pricing.

We accept all major credit and debit cards via Stripe. Secure checkout with instant confirmation.

All sessions are recorded and available for replay. You also get access to our community Slack channel where instructors and peers can help you catch up.

Yes, we offer a 14-day satisfaction guarantee. If you're not happy with the course within the first two weeks, we'll refund your payment in full.

Can't find your answer? Contact us

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