100+ alumni reviews
Graduate in under 3 months
Accelerated learning path for busy professionals
Job Guaranteed
1x Certification of Completion - Industry-recognized credential
12x Core Modules - Comprehensive AI engineering curriculum
On the Job Training - Real-world project experience
CareerCamp - Lifetime career support and mentorship
Master AI engineering through our innovative online bootcamp designed for professionals. Our AI bootcamp combines the flexibility of self-paced learning with the structure of daily live sessions and hands-on support, ensuring you stay engaged, motivated, and on track to become an AI engineer.
Why Our AI Bootcamp Online Stands Out
Unlike traditional online courses, our machine learning bootcamp online combines the flexibility of self-paced learning with daily live sessions and hands-on support, ensuring you stay engaged, motivated, and on track.
Build real AI applications from day one
Learn from industry experts
Gain practical skills in high-demand areas
Direct access to AI professionals and hiring managers
Master the skills to design, build, and launch AI-powered applications. By the end of this artificial intelligence bootcamp, you’ll be able to create real-world systems that save time, boost efficiency, and integrate AI into business workflows. Our machine learning engineering bootcamp covers everything from foundational concepts to advanced deployment strategies.

Introduction to Generative AI Development
Lay the groundwork for AI mastery with foundational generative AI concepts. Understand the principles that power modern AI applications.

Fundamentals of LLM Architecture and Applications
Understand the architecture of large language models including transformers and attention mechanisms. This module is essential for anyone pursuing a machine learning engineering bootcamp education.

Advanced Techniques in Prompt Engineering
Master advanced prompt engineering to optimize LLM-generated responses. Learn the techniques that separate novice AI developers from expert practitioners.

Building Blocks of RAG: Embeddings and Vector-Based Retrieval
Learn the core components of Retrieval-Augmented Generation systems. Master embeddings and vector databases to create intelligent AI applications.

Implementing RAG Workflows with LangChain
Build and evaluate RAG workflows using LangChain to integrate external data sources with LLMs. Create context-aware AI applications that leverage your organization's data.

Deploying and Scaling RAG Systems in Production Environments
Learn best practices for deploying and scaling RAG systems in production. Ensure your AI applications are reliable, efficient, and scalable.

Integrating LLM Agents with External Tools and APIs
Enable LLM agents to interact with external tools and APIs for expanded capabilities. Build agents that can take real-world actions.

Developing Agent-Based Applications with LangGraph
Explore LangGraph for developing complex, agent-based applications. Master the framework for building intelligent, autonomous systems.

Designing and Implementing Multi-Agent Systems for Complex Problem Solving
Design and implement multi-agent systems where specialized agents collaborate to solve complex problems. Learn to orchestrate teams of AI agents.

Fine-Tuning Techniques for Domain-Specific Embeddings
Learn to fine-tune LLMs for specific domains and applications. Create specialized models that excel in your industry.

LLM Operations (LLMOps): Deployment, Monitoring, and Continuous Improvement
Master the lifecycle of LLMs in production environments. Learn to deploy, monitor, and continuously improve AI systems.

Capstone Project: Developing and Deploying an Advanced AI Application
Apply all skills and knowledge to develop and deploy a complete AI application. Create a portfolio-worthy project that demonstrates your expertise.

Tech Residency
Get hands-on experience as an AI Engineer. Work directly with real companies on actual AI engineering challenges. Our tech residency gives you the experience employers are looking for.

Career Camp
Technical Training
Explore the curriculum that transforms careers.
1.5 hours
Lay the groundwork for AI mastery with foundational generative AI concepts. Understand the principles that power modern AI applications.
Identify automation opportunities within a workflow.
Design an end-to-end solution with tools you’ve learned.
Build, test, and iterate your solution.
6 hours
Understand the architecture of large language models including transformers and attention mechanisms. This module is essential for anyone pursuing a machine learning engineering bootcamp education.
5 hours
Master advanced prompt engineering to optimize LLM-generated responses. Learn the techniques that separate novice AI developers from expert practitioners.
6 hours
Learn the core components of Retrieval-Augmented Generation systems. Master embeddings and vector databases to create intelligent AI applications.
7 hours
Build and evaluate RAG workflows using LangChain to integrate external data sources with LLMs. Create context-aware AI applications that leverage your organization’s data.
8 hours
Learn best practices for deploying and scaling RAG systems in production. Ensure your AI applications are reliable, efficient, and scalable.
8 hours
Enable LLM agents to interact with external tools and APIs for expanded capabilities. Build agents that can take real-world actions.
8 hours
Explore LangGraph for developing complex, agent-based applications. Master the framework for building intelligent, autonomous systems.
8 hours
Design and implement multi-agent systems where specialized agents collaborate to solve complex problems. Learn to orchestrate teams of AI agents.
8 hours
Learn to fine-tune LLMs for specific domains and applications. Create specialized models that excel in your industry.
8 hours
Master the lifecycle of LLMs in production environments. Learn to deploy, monitor, and continuously improve AI systems.
6.5 hours
Apply all skills and knowledge to develop and deploy a complete AI application. Create a portfolio-worthy project that demonstrates your expertise.
At Coding Temple, we don’t just teach AI skills—we prepare students for real jobs with real companies. Our AI bootcamp online goes beyond traditional machine learning bootcamp online experiences by connecting you with actual industry projects.
That’s why we built LaunchPad, an experiential training platform that will connect you with 40,000+ employers and thousands of active real-world projects, ensuring you graduate with hands-on experience that sets you apart in the job market.
Boosted Placement Rates: Employers seek AI engineers with experience in coding, debugging, and version control. Our bootcamp emphasizes practical skills that employers demand.
Stronger Portfolios & Resumes: Build and showcase full-stack AI applications, APIs, and scalable software solutions that demonstrate your capabilities as an AI engineer.
Networking & Direct Employer Connections: Gain hands-on experience in building and deploying AI applications to transition into AI engineering roles smoothly and make direct connections with hiring managers.
Reduces the ‘Experience Gap’ for Career Changers: Students gain actual industry experience, making it easier to transition into technical AI roles. Our artificial intelligence bootcamp is designed to bridge the gap between learning and employment.
Projects
Students have continuous access to 5,000 active real-world challenges from a variety of industries, guaranteeing practical experience.
Employers
Coding Temple students collaborate with real companies, gaining exposure to potential hiring managers and increasing your chances of networking with potential employers
Employment Rate
Salary Lift








4.6
/5
Instructors
4.7
/5
Careers Services
4.8
/5
Curriculum
You can choose which payment plan works best for you. More flexibility. Faster start. Your goals, your call.
Total tuition before discount
$10,000
Discount
-$6,500
Paid at enrollment
$3,500
Pay up front and save $6.5k on tuition
$10,000
$3,500
Total tuition before discount
$280/mo
Discount
-$91/mo
Deposit
$200
Installment Period
36 months
0% interest and no credit check
$280/mo
$189/mo
Total tuition before interest
$10,000
Discount
-$4,000
Enroll now, pay later. No deposit required.
$10,000
$6,000
Yes! Our AI bootcamp online is fully remote and self-paced, allowing you to learn at your own speed while maintaining flexibility for work and other commitments.
Our artificial intelligence bootcamp includes a built-in tech residency, lifetime career support, and hands-on experience with real companies through LaunchPad. We focus on practical AI engineering skills that employers demand.
No, but basic programming knowledge is recommended. Our curriculum starts with foundational concepts and progresses to advanced topics.
The bootcamp is 80 clock hours and can typically be completed in 2-4 months depending on your pace.
Yes! We offer job placement assistance, career coaching, and a job guarantee. Our alumni work at top companies like Amazon, Google, and Microsoft.
You’ll master LangChain, LangGraph, OpenAI APIs, vector databases, embeddings, and other industry-standard AI tools.
Yes, we stand behind our AI bootcamp with a satisfaction guarantee.
Yes, you’ll have lifetime access to all course materials and resources.
The tech residency includes real-world projects with actual companies, expert feedback, and networking opportunities with hiring managers.
40 hours
Learn version control, repository management, and collaboration with GitHub.
Understand strings, numbers, conditional statements, loops, and functions.
Learn how to handle errors and exceptions in Python.
Solve programming challenges to reinforce Python concepts.
Build production AI Systems. Earn Employer-Trusted Proof.
Bootcamp Only
Open enrollment
Apply anytime
BUNDLE & SAVE
Bundle: Limited to 10 students. First cohort starts March 15, 2026. New Residency cohorts launch every 2 weeks.
Not sure which path? Speak to Admissions