Master LangChain: Build Production AI Agents and RAG Apps
Go beyond hello-world demos. Build, deploy, and scale production-grade AI agents, RAG pipelines, and LLM-powered applications using LangChain and modern AI infrastructure.
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.
LangChain has become the dominant framework for building production AI applications, powering everything from enterprise RAG systems to autonomous agents. This bootcamp moves past toy examples and teaches you to build, test, and deploy LangChain applications that handle real traffic, real errors, and real user expectations.
Who Is This For?
Python developers who have used the OpenAI API directly but want to build more complex AI systems
Backend engineers tasked with building internal AI tools or customer-facing AI features
Data engineers and ML practitioners looking to move into LLM application development
Technical founders who want to ship AI-powered products without a dedicated ML team
What You Will Learn
Build RAG pipelines with vector stores, chunking strategies, and retrieval optimization
Create multi-step AI agents with tool calling, memory, and conditional routing using LangGraph
Implement streaming responses, error handling, and fallback logic for production reliability
Evaluate LLM outputs with LangSmith tracing and build automated regression test suites
Deploy LangChain applications to production with proper observability, rate limiting, and cost controls
Industry Insights
of enterprise AI teams building LLM applications in 2025 report using LangChain or LangGraph as their primary orchestration layer
median monthly salary premium earned by developers with LangChain and RAG skills compared to general Python developers in 2025 job postings
of production AI failures in LLM applications are caused by poor retrieval quality in RAG systems, making proper pipeline design a critical skill
“I had read all the LangChain docs and still could not get a RAG pipeline to perform reliably. After week three of this bootcamp I shipped an internal knowledge base tool that my company now uses daily. The production debugging section alone was worth the entire price.”
Frequently Asked Questions
Does LangChain change frequently enough to make a bootcamp outdated quickly?
Do I need prior experience with machine learning or fine-tuning models?
Will I build projects I can include in a portfolio?
Faster Coding
Student Satisfaction
Trusted Companies
Trusted Companies
Interactive Comparison
See the AI Difference
Drag the slider to compare manual vs AI-powered workflows
Use arrow keys or drag the handle to compare
Before & After AI
Build Anything, Ship Everything
AI capabilities that turn ideas into shipped products at unprecedented speed.
Spend 3 hours writing boilerplate CRUD code
Generate entire API endpoints in 30 seconds
Take weeks to validate an idea with a working prototype
Ship functional MVPs in days with AI-accelerated development
Spend months building fragile automation scripts
Deploy autonomous AI agents that handle complex workflows end-to-end
Read API docs for hours, write integration code manually
AI generates type-safe API clients from OpenAPI specs instantly
Complex deployments require DevOps expertise and hours
One-command deployments with AI-powered quality checks
Write tests one by one, often forgetting edge cases
Generate comprehensive test suites with full edge case coverage
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
Ship Real Products with AI-Accelerated Development
Build production-ready apps, SaaS platforms, and extensions 10x faster with AI-powered coding
Production AI Agent System
Build autonomous AI agents that research, plan, and execute multi-step tasks — from customer onboarding to data pipeline management.
AI-Powered SaaS MVP
Go from idea to paying customers in weeks. Build auth, billing, dashboards, and AI features — all with AI-assisted development.
Cross-Platform Mobile App
Ship a polished iOS and Android app with AI-generated UI, smart notifications, and offline-first architecture — 50% faster than traditional development.
Viral Chrome Extension
Create a browser extension with AI features that users love — from idea validation to Chrome Web Store launch in days.
Scalable REST API
Design and deploy production APIs with AI-generated routes, validation, documentation, and intelligent rate limiting — in record time.
Full-Stack Marketplace
Build a complete marketplace platform with user auth, payments, search, reviews, and admin dashboard — end-to-end with AI assistance.
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
From Builder to Founder
AI skills turn developers into one-person product teams.
Launched a product within 3 months
Average revenue from side projects
Productivity multiplier
Would recommend to a friend
Career Path Transformations
Junior Developer
AI-Augmented Engineer
Freelancer
AI Consultant ($200/hr)
Solo Developer
AI Dev Agency Owner
Frontend Developer
AI Full-Stack Developer
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 Builders Who Ship
A bootcamp that measures success by what you launch, not what you learn.
Real AI Tools
Hands-on with Cursor, Claude Code, Copilot, Devin, and 8+ industry tools. No toy examples.
3 Portfolio Projects
Build production SaaS apps and AI pipelines. Ship real features, not tutorials.
Expert Instruction
Learn from veterans with experience at Google, McKinsey, and top-tier companies.
Slack Community
Lifetime access to our private network. Get help, share wins, connect with alumni.
Lifetime Updates
Access all future curriculum updates as AI tools evolve. Stay current forever.
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
Get your free toolkit
Enter your email to receive instant access.
No spam. Unsubscribe anytime.
Ready to transform your career?
Begin your journey
Questions? Reach out to
Interested? Get in Touch
Leave your details and we'll reach out with more information.
Trusted by 2,000+ professionals worldwide
As featured in