Get Certified in AI Engineering — Stand Out to Employers
A recognized AI certificate backed by real projects, not just exams. Prove your skills with a portfolio that speaks for itself.
Tools You'll Master
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 CodeLeap AI Engineering Certificate is earned through demonstrated performance, not multiple-choice exams. Candidates complete 4 portfolio projects, pass a live technical assessment, and receive a credential backed by a verifiable project portfolio — something an employer can actually evaluate rather than take on faith.
Who Is This For?
Developers who want a recognized credential to back their AI skills on a resume or LinkedIn profile
Career changers entering tech who need proof of competency beyond self-taught claims
Engineers preparing for senior roles or promotions where demonstrable AI skill matters
Bootcamp graduates from other programs who want a portfolio-backed certification to strengthen their profile
What You Will Learn
Project 1: Build a full-stack AI-powered web application with LLM integration, deployed to production
Project 2: Create an AI automation pipeline that solves a real data processing or communication workflow problem
Project 3: Develop a Claude Code agent workflow that demonstrates autonomous multi-step task completion
Project 4: Contribute an open-source AI tool or MCP server with documentation and test coverage
Live assessment: a 45-minute technical interview where you walk through your portfolio and answer AI engineering questions
Industry Insights
more interview callbacks received by job applicants who include a verifiable AI project portfolio alongside their application versus a resume-only application for the same roles
of hiring managers at tech companies say a demonstrated AI project portfolio is more convincing evidence of capability than any certification exam score
average salary increase achieved by developers who obtained a recognized AI credential in the 12 months following certification, according to Stack Overflow's 2025 Developer Survey
“I had 2 years of experience but couldn't get past the screening round at the companies I wanted to work for. After getting the CodeLeap certificate and having 4 live projects to show, I got 3 offers in 6 weeks. The portfolio was the difference.”
Frequently Asked Questions
How is the CodeLeap certificate different from AWS, Google, or Microsoft AI certifications?
Is the certificate recognized by employers — will it actually help me get hired or promoted?
What happens if I fail the live technical assessment on my first attempt?
Faster Coding
Student Satisfaction
Trusted Companies
Trusted Companies
Interactive Comparison
See the AI Difference
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Before & After AI
Skills That Get You Hired
Master the AI capabilities that top companies are desperately seeking.
Spend 3 hours writing boilerplate CRUD code
Generate entire API endpoints in 30 seconds
Manually review 500-line PRs for bugs and style issues
AI catches bugs, security flaws, and suggests fixes instantly
Debug for hours by reading stack traces and console logs
AI pinpoints root cause and suggests exact fix in seconds
Write tests one by one, often forgetting edge cases
Generate comprehensive test suites with full edge case coverage
Manually write docs, READMEs, and API references
Auto-generate accurate documentation from code context
Complex deployments require DevOps expertise and hours
One-command deployments with AI-powered quality checks
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.
Real-World Portfolio
Career-Defining Projects for Your Portfolio
Build real projects that land interviews and prove your AI engineering skills
AI SaaS Platform
Build a full-stack SaaS app with AI-powered features, user auth, Stripe payments, and a dashboard — in under a week.
Automated Code Review Bot
Create a GitHub bot that reviews PRs, catches bugs, suggests improvements, and enforces your team's code standards automatically.
Multi-Agent System
Orchestrate multiple AI agents that research, plan, code, and test together — like having a virtual engineering team.
AI Customer Support
Deploy a RAG-powered chatbot that answers questions using your docs, escalates edge cases, and learns from every interaction.
AI Documentation Engine
Generate beautiful, accurate API docs, guides, and tutorials from your codebase automatically — always up to date.
AI Security Scanner
Build an automated security analysis tool that scans code for vulnerabilities, suggests fixes, and generates compliance reports.
Chat with AI — Try It Live
Experience how AI assists your workflow in real-time
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.
4 agents completed in 0:00 — 12 files created, 0 errors
All agents synchronized automatically with zero merge conflicts
What you'll achieve
Ready to get started?
Every module is designed to deliver measurable, career-changing results from week one.
Master vibe coding - build complete applications by directing AI agents conversationally
Become an agentic engineer - orchestrate autonomous coding agents (Claude Code, Cursor Agent, Devin) for complex multi-file refactors
Master prompt engineering and context engineering for precise, high-quality AI code generation
Get hands-on with GitHub Copilot, Cursor IDE, Claude Code CLI, Devin, Windsurf, and Codex
Build software up to 55% faster using AI pair programming and multi-agent orchestration
Use AI for automated code review, debugging, security auditing, and CI/CD integration
Master the Model Context Protocol (MCP) to connect AI tools to live data and external services
Build and deploy AI-powered features using LLM APIs, Hugging Face, and RAG pipelines
Architect scalable AI-native applications with proper testing, monitoring, and guardrails
Complete 3 portfolio-worthy capstone projects demonstrating professional agentic engineering
Your toolkit
AI-Powered Software Engineering Bootcamp
Master AI Tools. Accelerate Your Development. Future-Proof Your Career.
Claude Code
CLI AI Agent
Cursor IDE
AI-Native IDE
GitHub Copilot
Code Assistant
ChatGPT / GPT-4
AI Assistant
Devin
Autonomous AI Engineer
Windsurf
AI IDE
Codex CLI
Code Generation Agent
Hugging Face
ML Models & Inference
LangChain / LangGraph
AI Orchestration
Model Context Protocol
AI Integration Protocol
Vercel v0
AI UI Generator
VS Code
IDE
Your AI Toolkit — Explore & Experiment
Click any prompt to see AI in action across different tools
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.
Course Length
8-Week Curriculum
From AI fundamentals to building production-ready AI features. Hands-on every week.
13% explored
The AI-Powered Developer: Landscape & Foundations
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
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.
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-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.
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
See the difference
CodeLeap vs. The Alternatives
We built the most complete AI skills program at a fraction of the cost.
Career Outcomes
Your Career Transformation
Real career outcomes from real graduates. See how mastering AI tools changes your trajectory.
Got promoted or new job within 6 months
Average salary after completion
Average productivity increase
Companies hiring our graduates
Career Path Transformations
Junior Developer
AI-Augmented Engineer
Mid-Level Dev
AI Engineering Lead
Senior Developer
AI Architect
Freelancer
AI Consultant ($200/hr)
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 futureYour Investment
Calculate Your Return on Investment
See how quickly this bootcamp pays for itself based on your current role and experience level.
Why CodeLeap
Built for Career Growth
Everything you need to level up and land your dream AI engineering role.
Real AI Tools
Hands-on with Cursor, Claude Code, Copilot, Devin, and 8+ industry tools. No toy examples.
Live Cohort
8 weeks of live instruction with peers. Real interaction, real accountability.
3 Portfolio Projects
Build production SaaS apps and AI pipelines. Ship real features, not tutorials.
Career Support
Resume reviews, mock interviews, and direct introductions to hiring partners.
Expert Instruction
Learn from veterans with experience at Google, McKinsey, and top-tier companies.
14-Day Guarantee
Full money-back guarantee within the first 14 days. Zero risk to get started.
Invest in Your AI-Powered Future
Join thousands of developers who have transformed their careers. 14-day money-back guarantee.
- 8 weeks of live classes
- 3 capstone projects
- Community Slack access
- Session recordings
- Certificate of completion
- Everything in Early Bird
- 1-on-1 mentor session
- Priority Q&A support
- Lifetime resource access
- LinkedIn recommendation
Minimum 5 seats
Volume discounts available
- Everything in Full Access
- Team progress dashboard
- Custom project scoping
- Dedicated account manager
- Invoice billing available
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
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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