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AI-Powered Software Engineering Bootcamp

Master MCP: Build AI Integrations That Companies Pay Premium For

Model Context Protocol is the new standard for connecting AI to everything. Learn to build custom MCP servers and become indispensable to any AI team.

Enroll NowLearn More
55%Faster Coding
96%Student Satisfaction
150+Trusted Companies
agent.py
mcp_server.py
config.yaml
from claude_agent import Agent, Tool
from mcp import MCPServer
# Week 6 — Multi-Agent Orchestration
server = MCPServer(port=8080)
orchestrator = Agent(
name="lead-agent",
model="claude-opus-4",
tools=[Tool.code, Tool.test, Tool.deploy]
)
result = orchestrator.deploy("production")✦ AI
print(result.status)
TerminalProblemsOutput
$ python agent.py
✓ MCP server started on :8080
✓ Agent "lead-agent" initialized (3 tools)
→ Running deployment pipeline…
All 47 tests passed — deployed to production
Live Preview
AI-Powered

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

CodeLeap is a live, cohort-based AI bootcamp that teaches professionals to integrate AI tools like Cursor, Claude Code, and GitHub Copilot into their daily workflow. The 8-week program includes 3 portfolio projects, expert instruction, and a 14-day money-back guarantee.

The Model Context Protocol is the open standard reshaping how AI agents communicate with external tools, databases, and APIs. This developer-track bootcamp teaches you to build, deploy, and maintain production-grade MCP servers using Cursor IDE, Claude Code, and GitHub Copilot — giving you the rare skill set that every AI infrastructure team is desperately hiring for in 2026.

Who Is This For?

Backend developers who want to build the connective tissue between AI agents and real-world systems

DevOps and infrastructure engineers looking to specialize in AI agent tooling and MCP server architecture

Full-stack developers who want to understand how Claude, Cursor, and other AI tools consume external context

Technical founders building AI-powered products that need reliable tool-use infrastructure from day one

What You Will Learn

01

Designing and implementing MCP servers that expose databases, APIs, and file systems to AI agents securely

02

Building custom tool definitions, resource providers, and prompt templates following the MCP specification

03

Using Cursor IDE and Claude Code to rapidly scaffold, test, and iterate on MCP server implementations

04

Deploying MCP servers to production with authentication, rate limiting, and observability built in

05

Integrating MCP servers with Claude Desktop, Cursor, and custom AI agent workflows for end-to-end automation

Industry Insights

340%

growth in MCP server job postings since the protocol's standardization in late 2025

$185K

average salary for engineers with MCP server development experience in the US market

92%

of enterprise AI deployments now use MCP or similar protocols for tool integration

“I went from building basic REST APIs to deploying production MCP servers in six weeks. The moment my custom MCP server connected Claude to our company's internal database and started answering real business questions, my entire team saw the value. I got promoted to lead our AI infrastructure initiative.”

M
Marcus Chen

AI Infrastructure Engineer

Frequently Asked Questions

Do I need prior experience with AI protocols or server development to take this course?
You should be comfortable with TypeScript or Python and basic API concepts. We teach MCP from the ground up — you don't need prior protocol experience. The bootcamp uses Cursor IDE and Claude Code to accelerate your learning, so even complex server patterns become approachable within the first week.
What kinds of MCP servers will I build during the bootcamp?
You'll build at least four production-grade MCP servers: a database connector that lets AI agents query and write to PostgreSQL, a file system server for document processing, an API gateway that wraps existing REST services for AI consumption, and a custom tool server for your capstone project. All deployed and running by graduation.
Is MCP really the industry standard or just another protocol that might fade?
MCP has been adopted by Anthropic, Cursor, Sourcegraph, and dozens of major AI tooling companies. It's backed by an open specification with a thriving ecosystem. The skills you learn — server architecture, tool definitions, resource management — transfer to any tool-use protocol, so your investment is future-proof regardless.
0%

Faster Coding

0%

Student Satisfaction

0+

Trusted Companies

0+

Trusted Companies

Interactive Comparison

See the AI Difference

Drag the slider to compare manual vs AI-powered workflows

Before: Manual Process
1function
2fetchUserData
3(
4id
5) {
6 
7 var url = "https://api.example.com/users/" + id;
8 var response = null;
9 var data = null;
10 
11 // No error handling at all
12 response = fetch(url);
13 data = response.json();
14 
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);
19 
20 return data;
21}
After: AI-Powered
1interface
2User
3 {
4 id: string; name: string; age: number;
5}
6 
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();
14 
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

Before & After AI

Elite Technical Capabilities

Advanced AI skills for engineers who want to operate at the highest level.

5x faster design
Before

Spend days designing system architecture and data models

After AI

AI generates architecture diagrams and schemas from requirements

Zero vulns shipped
Before

Hire expensive consultants for security code reviews

After AI

AI scans for OWASP Top 10 vulnerabilities in real-time

Ship 10x faster
Before

Complex deployments require DevOps expertise and hours

After AI

One-command deployments with AI-powered quality checks

80% faster refactor
Before

Refactoring legacy code takes weeks of careful planning

After AI

AI analyzes impact, suggests safe refactors, and updates all references

85% fewer bugs
Before

Manually review 500-line PRs for bugs and style issues

After AI

AI catches bugs, security flaws, and suggests fixes instantly

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

5xFaster architecture design
95%Vulnerabilities caught
10xFaster deployments

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
Claude Code
zsh

Real-World Portfolio

Advanced Technical AI Projects

Push the boundaries with cutting-edge AI engineering and architecture

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
95%
vulns detected

AI Security Scanner

Build an automated security analysis tool that scans code for vulnerabilities, suggests fixes, and generates compliance reports.

AST ParserAI AnalysisOWASPReports
99.9%
uptime SLA

Enterprise API Gateway

Design and deploy a scalable API gateway with AI-powered rate limiting, smart caching, and automatic documentation generation.

Node.jsRedisOpenAPIDocker
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
100%
test coverage

AI Testing Framework

Create an intelligent test suite generator that analyzes your codebase, writes comprehensive tests, and catches regressions before they ship.

JestPlaywrightAI AnalysisCI/CD
85%
fewer bugs shipped

Automated Code Review Bot

Create a GitHub bot that reviews PRs, catches bugs, suggests improvements, and enforces your team's code standards automatically.

GitHub APIClaude CodeWebhooksDocker
Start building today

Chat with AI — Try It Live

Experience how AI assists your workflow in real-time

AI Assistant
0/3 conversations

Multi-Agent Architecture

AI Agents Working in Parallel

Deploy a swarm of specialized agents that build your entire application simultaneously — frontend, backend, tests, and deployment.

Swarm Orchestrator
Agents: 0/4 complete
Elapsed: 0:00
🎨Frontend Agent
Waiting to start...
0%0/5 tasks
⚙️Backend Agent
Waiting to start...
0%0/5 tasks
🧪Testing Agent
Waiting to start...
0%0/5 tasks
🚀DevOps Agent
Waiting to start...
0%0/5 tasks

4 agents completed in 0:00 — 12 files created, 0 errors

All agents synchronized automatically with zero merge conflicts

Multi-Agent Swarm
0 files generated
4x
Faster than sequential
12
Files created simultaneously
Zero
Merge conflicts

What you'll achieve

Ready to get started?

Every module is designed to deliver measurable, career-changing results from week one.

01

Master vibe coding - build complete applications by directing AI agents conversationally

02

Become an agentic engineer - orchestrate autonomous coding agents (Claude Code, Cursor Agent, Devin) for complex multi-file refactors

03

Master prompt engineering and context engineering for precise, high-quality AI code generation

04

Get hands-on with GitHub Copilot, Cursor IDE, Claude Code CLI, Devin, Windsurf, and Codex

05

Build software up to 55% faster using AI pair programming and multi-agent orchestration

06

Use AI for automated code review, debugging, security auditing, and CI/CD integration

07

Master the Model Context Protocol (MCP) to connect AI tools to live data and external services

08

Build and deploy AI-powered features using LLM APIs, Hugging Face, and RAG pipelines

09

Architect scalable AI-native applications with proper testing, monitoring, and guardrails

10

Complete 3 portfolio-worthy capstone projects demonstrating professional agentic engineering

Start achieving these outcomes

Your toolkit

AI-Powered Software Engineering Bootcamp

Master AI Tools. Accelerate Your Development. Future-Proof Your Career.

C

Claude Code

CLI AI Agent

C

Cursor IDE

AI-Native IDE

G

GitHub Copilot

Code Assistant

C

ChatGPT / GPT-4

AI Assistant

D

Devin

Autonomous AI Engineer

W

Windsurf

AI IDE

C

Codex CLI

Code Generation Agent

H

Hugging Face

ML Models & Inference

L

LangChain / LangGraph

AI Orchestration

M

Model Context Protocol

AI Integration Protocol

V

Vercel v0

AI UI Generator

V

VS Code

IDE

Your AI Toolkit — Explore & Experiment

Click any prompt to see AI in action across different tools

Select a prompt to see AI output

Expert Instruction

Meet Your Instructor

AP

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

Course Length

8-Week Curriculum

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

1
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.

Full-Stack SaaS App with AI Pair Programming
Core Project
01

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-Powered Code Quality Pipeline
AI Integration
02

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
AI-Native Application Capstone
Capstone
03

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
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.”

SC

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.”

MJ

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.”

AP

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.”

DK

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.”

ER

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.”

JO

James O'Brien

DevOps Engineer at GitHub

See the difference

CodeLeap vs. The Alternatives

We built the most complete AI skills program at a fraction of the cost.

CodeLeap
BEST VALUE
Udemy / YouTube
Coursera
Traditional Bootcamp
Price
$497 early bird
$15-30/course
$49/mo + cert fees
$10,000-20,000
Duration
8 weeks
Self-paced
3-6 months
12-24 weeks
Live Instruction
AI Tools Covered
12+ tools
1-2 tools
2-3 tools
3-5 tools
Portfolio Projects
3 projects
Exercises only
1 capstone
2-3 projects
Career Support
Money-Back Guarantee
14-day
30-day
7-day trial
Community Access
Lifetime Slack
Q&A only
Forum
Alumni network
Get started with CodeLeap

Career Outcomes

Technical Leadership Paths

Advance into senior technical roles with AI expertise.

0%

Got promoted or new job within 6 months

$0K

Average salary after completion

0.0x

Average productivity increase

0+

Companies hiring our graduates

Career Path Transformations

Senior Developer

AI Architect

+$65K

DevOps Engineer

AI-Powered Platform Engineer

+$45K

Mid-Level Dev

AI Engineering Lead

+$50K

QA Engineer

AI Test Automation Lead

+$30K

AI Engineers are the most in-demand role in 2025

Companies are paying premium salaries for developers who can build with AI. Position yourself at the forefront.

Invest in your future

Your Investment

Calculate Your Return on Investment

See how quickly this bootcamp pays for itself based on your current role and experience level.

$80K
$40K$200K
3 years
1 year15 years

Why CodeLeap

Built for Technical Depth

A bootcamp that matches your technical ambition with real engineering challenges.

Real AI Tools

Hands-on with Cursor, Claude Code, Copilot, Devin, and 8+ industry tools. No toy examples.

Personal Code Reviews

Get detailed feedback on every project from senior engineers. Level up faster.

Expert Instruction

Learn from veterans with experience at Google, McKinsey, and top-tier companies.

Industry Certificate

Earn a recognized certificate that proves your AI engineering skills to employers.

3 Portfolio Projects

Build production SaaS apps and AI pipelines. Ship real features, not tutorials.

Lifetime Updates

Access all future curriculum updates as AI tools evolve. Stay current forever.

Invest in Your AI-Powered Future

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

Early Bird
$997$1997
Save 50%Save $1000
  • 8 weeks of live classes
  • 3 capstone projects
  • Community Slack access
  • Session recordings
  • Certificate of completion
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  • Everything in Early Bird
  • 1-on-1 mentor session
  • Priority Q&A support
  • Lifetime resource access
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Corporate Teams
$997per seat

Minimum 5 seats

Volume discounts available

  • Everything in Full Access
  • Team progress dashboard
  • Custom project scoping
  • Dedicated account manager
  • Invoice billing available
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Questions? info@codeleap.ai

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

FREE AI TOOLKIT

50 AI Prompts That 10x Your Productivity

  • Production-tested prompts for Cursor, Claude & Copilot
  • Copy-paste templates for code review
  • Debugging prompt chains
  • Architecture planning prompts
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