Bootcamps
The AI Engineer
Beginner friendly
Interactive live sessions
Recordings available
The AI Engineer Bootcamp takes you from AI user to AI builder through hands-on projects and practical engineering skills. Learn to build and deploy AI applications using LLM APIs, prompt engineering, RAG, vector search, tool-using agents, MCP, evaluation pipelines, and fine-tuning. Explore AI security, prompt injection, guardrails, observability, responsible AI, and inference costs. You’ll also develop essential software engineering skills including APIs, databases, authentication, Docker, testing, deployment, and CI/CD. Build a personal AI assistant, document-aware RAG system, research agent, model comparison project, and an end-to-end full-stack capstone for your portfolio.
Douglas De Jesus
Douglas De JesusEx-Software Engineer @ Meta, Amazon
Upcoming bootcampsGet step-by-step guidance, ask questions, and learn with peers in live virtual sessions with Douglas De Jesus, Ex-Software Engineer @ Meta, Amazon.
$500 $400
or get a full year of live courses with

Cohort

Nov 17 - Feb 20
Early bird - 20%
Enroll in Bootcamp
Codecademy Pro included with BootcampGet full access to Codecademy Pro for the duration of your bootcamp. Or upgrade to All Access Pass for a full year of learning.
All content unlocked
Career paths
AI learning assistance
Projects
Interview prep
Assessments

Additional Bootcamp features

Stay accountable to your goalsGet step-by-step guidance, ask questions, and learn from an industry expert alongside your peers.
Portfolio projectsPut your learning into action, and build portfolio-ready projects
Sessions recordedLearn skills in live sessions or watch recordings later
Grow your networkNetwork with your classmates and solve challenges together.

Who is this bootcamp for?

Anyone who wants to build, deploy, and maintain AI systems. While no coding background is required, there’s starter Python and SQL pre-work included.

For marketers

Build a research agent your team can use to handle the multi-step legwork, like gathering competitor and audience information.

For engineers

Learn what sits under the model, from tokens and retrieval to fine-tuning, then add the testing, Docker, and CI/CD that turn a demo into a product.

For designers

Design the personality of a live AI assistant, then see where it breaks so you know what your interface has to handle.

For job seekers

Every job now expects some AI fluency, but few people can explain how these systems work or where they fail. You'll leave with five portfolio projects and a mock AI system-design interview.
Douglas De JesusEx-Software Engineer @ Meta, Amazon

Meet your bootcamp instructor

Doug is a seasoned Software Engineer with over 10 years of experience specializing in back-end development, machine learning, and robotics. Having contributed to both innovative startups and technology giants—including Meta, Amazon, and Codecademy—Doug brings a wealth of practical expertise to every project he undertakes. Notably, he played a key role in building the learning platform at Codecademy, helping shape the way thousands of learners engage with coding and technical education. Passionate about teaching, Doug is dedicated to making complex technical concepts approachable and actionable for learners at all levels. His instructional approach emphasizes clarity, hands-on practice, and real-world application, ensuring students gain not just knowledge but practical skills they can immediately apply. Join Doug to learn from an experienced professional whose combination of industry expertise and teaching acumen empowers learners to confidently tackle challenging topics in software development, machine learning, and robotics.

Bootcamp Syllabus

  • Cohort
    Save 20%
    Nov 17-Feb 2014 weeks
    Session times
    • Tuesday12-3 AM UTC
    • Thursday12-3 AM UTC
    • Saturday4-5 PM UTC
    Enroll in bootcamp
Cohort

Schedule

Bootcamp Certificate
After completing all sessions, earn a certificate to share your achievement.
Cohort

Projects

Bootcamp skills

  • Gain hands-on skills in LLMs
  • prompt engineering
  • RAG, AI agents
  • MCP, model evaluation
  • fine-tuning
  • AI security
  • production deployment
  • API integration, databases and authentication
  • Human-in-the-loop and responsible AI practices
  • Build portfolio-ready AI projects and an end-to-end capstone
Register for bootcamp
What I valued most was the focus on real-world system design and architecture. Our instructor went above and beyond, reinforcing fundamentals until they stuck and making complex concepts like LangChain approachable. The bootcamp gave me the structured, hands-on learning I needed to master skills that truly matter in the industry.
photo of Jonathan Ben Newell
Jonathan Ben NewellTech Program Manager at iFITUnited States
This was an amazing experience! The doubt-clearing sessions were especially helpful, allowing me to learn from my own questions and others'. I loved how each homework task pushed me to apply concepts in new ways, which really made the knowledge stick. I came out of the bootcamp confident and excited to keep building projects — it’s easily a 9.5/10!
photo of Liz Thorp
Liz ThorpBootcamp participantUnited Kingdom
This bootcamp is incredible value for the money. Compared to other bootcamps that charge exorbitant fees, Codecademy provides top-notch instruction and a supportive learning environment at an affordable price. It’s perfect for beginners and professionals!
photo of Priyanka Adhikari
Priyanka AdhikariTeam Lead, DeelIndia

Frequently asked questions