Applied AI Engineer Bootcamp
Break into Tech | Basics to Building AI Products
- Build a portfolio of 10+ projects using 35+ industry tools
- Get 1:1 coaching and interview prep to support your job search
- Become job-ready for a range of Applied AI engineering and Agentic AI roles
- Live workshops on emerging AI tools like Claude, OpenClaw & more
Talk to an advisor :
+1-800-503-7505
Talk to an advisor :
+1-800-503-7505- Admission closesOctober 13, 2026
- Program Duration20 Weeks (Part-Time)
- Learning FormatLive, Online, Interactive
Key Features
The Columbia Engineering Executive Education Edge
Completion certificate from Columbia Engineering Executive Education & Fullstack Academy
Access masterclasses led by Columbia Engineering faculty
An Intensive Bootcamp Built for Job Readiness
Build practical experience across 100+ hours of interactive online sessions
Learn from Fullstack Academy subject matter experts with real-world industry experience
Master the Skills Shaping 2026 AI Hiring
Work on portfolio projects with leading tools like Claude, Kimi AI, and n8n
Build production-ready AI with in-demand LLMOps skills
Fullstack Academy Career Success Services
Access 1-on-1 career coaching, resume support, and curated job leads
Connect with 13,000+ Fullstack Academy alumni across companies hiring in AI and tech
Need to know more?
Need to know more?
Talk to an Advisor
Toll Free : +1-800-503-7505
Corporate Training
Enroll your employees into this program, NOW.
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Toll Free : +1-800-503-7505
Fullstack Graduate Wins
Top-Reported Salary
Average Salary
Employers Hiring Grads
Fullstack Alumni in Top Companies
Career Opportunities
- Applied AI Engineer
- GenAI Engineer
- AI Solutions Consultant
Applied AI Engineer
Focused on building and deploying AI for real-world use, this role integrates models like LLMs into products, connects them to data with RAG, and ships agents and applications that run reliably at scale.
Essential Skills You Will Develop
- Prompt Engineering
- Agent Orchestration
- Agentic AI Architecture
- AI Security and Legal Risk
- LLM Architecture
- Model Context Protocol
- Multi Agent Systems
- Multimodal AI
- LLMOps
- Retrieval Augmented Generation
- Model Deployment
- Model Selection and Evaluation
- Neural Networks and Transformers
- Workflow Automation
- Machine Learning Algorithms
- AI Agent Evaluation
Earn Professional Certifications
You'll learn directly from industry experts working at the front lines of applied AI engineering. Upon completing the Applied AI Engineer Bootcamp, you'll receive a certificate from Columbia Engineering Executive Education and Fullstack Academy.
- Graduate with a credential employers recognize
- Add the digital certificate to your resume and LinkedIn
Program Curriculum
The curriculum moves from programming and AI foundations to generative AI and agent engineering, through deployment and governance, concluding with a capstone project. It is designed to take you from the fundamentals to building and running AI systems with a practitioner's depth.
- Basics of Programming ConceptsUnderstand how computers work, from transistors and binary to logic gates and memory. Learn how code runs, from compilers and interpreters to what happens inside the CPU. Build programming logic visually with Scratch: variables, loops, and conditionals.
- Python Basics For Agentic AI And AIMLWrite your first working Python, then handle real data with functions, loops, and object-oriented code. You will set up a professional development environment and learn to use AI coding assistants like GitHub Copilot well, laying the groundwork for every AI project that follows.
- Foundations of AI and Agentic AILearn to tell AI, machine learning, deep learning, generative AI, and agentic AI apart, and understand why transformers changed everything. You will compare the major agent frameworks through hands-on demos, then build your first agent, give it tools and memory, and host it.
- Technical Foundations of Generative AILearn how neural networks and deep learning actually work under the hood. Follow the path from RNNs and LSTMs to the transformers powering today's LLMs. Build hands-on skills with TensorFlow, Keras, and Google Colab.
- Generative AI Applications, Context-Driven RAG & Multimodal AIMove from prompting into building. You will ship a RAG application end to end, fine-tune an LLM with techniques like LoRA, decide between fine-tuning and RAG for your use case, and work across text, image, and code. This is where your portfolio starts to take shape.
- Agent Engineering, Multi-Agent Systems & Workflow AutomationDesign role-based agent teams and coordinate them with serial, parallel, and hierarchical patterns. You will orchestrate stateful workflows in LangGraph, automate real processes in n8n, review agent traces to cut cost, and learn from real failures like the Air Canada chatbot case.
- Model Context Protocols & AI Tooling FrameworksUnderstand why tools need structured context and how MCP differs from a standard API. You will build and host an MCP-compliant tool, persist context across sessions, spot risks like prompt injection early, and govern a new tool in a hands-on lab.
- LLM Operations and DeploymentRun the full model lifecycle, from data curation to deployment and monitoring. You will deploy a self-hosted LLM, track token usage, latency, and cost, cut costs deliberately, and apply the security and governance controls production systems need.
- Building Customized LLMs with OpenAIConstruct RAG systems with vector search and knowledge graphs. You will adapt models to your use case using Hugging Face and LLaMA 2, then take a customized generative AI model into a live web application.
- Shipping AI Products: Deployment, Operations & GovernanceAssess deployment readiness, host agents in the cloud, and run feedback loops and A/B tests with compliance handled correctly. You will apply governance through real case studies, and learn to recognize legal risk, from data leakage to international privacy law.
- CapstoneThe capstone project provides a valuable opportunity to implement the skills learned throughout this bootcamp. You will solve industry-specific challenges by applying various GenAI and Agentic AI techniques. The capstone project will help you showcase your knowledge and skills to employers.
ELECTIVES
- Academic Masterclass Led by Columbia Engineering FacultyAttend a quarterly live masterclass led by Columbia Engineering faculty to explore emerging AI research, technologies, and industry developments, while gaining expert perspectives on evolving trends and real-world applications.
- AI Impact StudiosAn exclusive live AI workshop series that helps learners stay ahead in Generative AI, Agentic AI, automation, and emerging AI technologies. Access one or both learning tracks: AI Builder Studio focuses on AI development, automation, and deployment, while AI Business Impact Studio explores AI-powered productivity, decision-making, workflow transformation, and business innovation.
35+ Tools Covered
Portfolio Projects
MultiAgent Workflow Planner for a Startup Accelerator
Orchestrate three agents, a Research Agent, Funding Advisor, and Pitch Coach, that collaborate through planning and feedback loops to produce a pitch deck outline.
Skills learned
- Collaborative Agent System
- Multi-Agent Orchestration
- Role-Based Agent Design
- Memory Management
Agentic RAG Router Retriever System with PDF and Web Search
Build an agentic RAG system where a Router Agent classifies each query and a Retriever Agent runs the PDF vector search or web search, orchestrating to produce accurate answers.
Skills learned
- Multi-Agent System
- Router Agent
- Retriever Agent
- CrewAI
- Agent Collaboration
- Log Reasoning
AI Powered LinkedIn Content Automation with n8n and AutoGen
Automate a fintech team's LinkedIn content, drafting to publishing, using an AutoGen-inspired microservice, n8n, and approval guardrails.
Skills learned
- Multi-Agent Microservices
- n8n Orchestration
- FastAPI Development
- Automated Content
- Approval Gates
- Slack & LinkedIn Integration
Crafting an AI Powered HR Assistant
Build a conversational chatbot that answers questions from PDF-based HR policy documents, using OpenAI's GPT, vector embeddings, and a Gradio UI.
Skills learned
- Retrieval-Augmented Generation
- Semantic Search
- Conversational Design
Creating Designs by Leveraging OpenAI and Gradio UI
Create a text-to-image generation platform for digital marketing using OpenAI's DALL-E and a Gradio UI, producing campaign banners and posters for an entertainment brand.
Skills learned
- Generative Image Workflows
- API integration
- UI Prototyping
Analyzing Customer Orders Using Python
Turn raw order data into business insights with Python, spotting purchasing patterns, and identifying high-value customers using core data structures, loops, and conditionals.
Skills learned
- Data Manipulation
- Pattern Recognition
- Customer Segmentation
Building a Python Adventure Game with GitHub Copilot
Create a text-based adventure game where users explore locations, make choices, and complete a quest, built in Python with GitHub Copilot as your AI pair programmer.
Skills learned
- Programming Logic
- AI-Assisted Coding
- Interactive Design
Program Advisor
Sean Wiggins
Executive Director of Columbia Video NetworkDirects remote and hybrid curricular offerings across the video network. Specializes in human-centered instructional design, faculty development, and teaching innovation. Collaborates with industry and academic partners to develop programs focused on emerging technologies.
George Perdrizet
AI & Data Science Lead, Applied Machine LearningPhD-holding data scientist with 15+ years across applied AI, machine learning, and bioinformatics. Has led predictive modeling projects that bridge academic research with real-world industry problems across multiple domains.
Program Trainers
Cristopher Patvakanian
10+ Yrs in Data Science & MLData Scientist, Harvard Graduate
Abishek Ganesh
8+ Years in AI & MLVP of Technology & AI
David Nick
15+ Years of ExperienceSenior Data Scientist & AI/ML Instructor
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Janet Flores
AI & Machine Learning TrainerGenerative AI & Prompt Engineer
Still have questions?
Our dedicated team is prepared to answer them.
Hear it from our Alumni
- LinkedIn profile of Aleeya Garcia
Aleeya Garcia
Business Development Specialist at Lombardi cucina italiana"I came in with no background in coding, and it felt very challenging in the beginning. But the bootcamp gave me such a good foundation, and the teachers gave me resources to improve my skills." - Neuroscience to Neural Networks Practitioner. (Review for Fullstack Academy's AI & ML curriculum)
- LinkedIn profile of Samantha Zanghi
Samantha Zanghi
Electrical Engineering Technologist at Allient"Fullstack Academy lets you start as a beginner. The bootcamp was very immersive, and it felt like a two-year program covered in just six months. I learned a lot." - Electrical Engineer with theoretical knowledge to Machine Learning Professional. (Review for Fullstack Academy's AI & ML curriculum)
- LinkedIn profile of Pavithra Raghudath
Pavithra Raghudath
Technical Lead at Incture"The most challenging part of the bootcamp is understanding the depth of topics. But the instructors were available every time to help us when I was stuck." - Experienced Coding Professional to AI/ML Professional. (Review for Fullstack Academy's AI & ML curriculum)
Total Program Fee
$ 7,995
Pay in Installments
You can pay monthly installments using Climb. These plans are offered with low APR and no hidden fees.
Program Cohorts
- Limited seats Left
Applied AI Engineer Bootcamp - December 2026
01 Dec, 2026 - 29 Apr, 2027
WeekdayTuTh
18:00 - 21:00 CST
Induction on 30 Oct, 2026
Who Is This Program For?
- Tech Pros Upskilling
- Recent Graduates
- Career Changers
- Non-Tech Professionals
Eligibility Criteria
- Basic knowledge of math and statistics is required
- Eagerness to learn AI concepts and programming knowledge
- Prior work experience is welcome but not essential
How To Apply
- 1Submit Application
Tell us a bit about yourself and why you want to do this program
- 2Reserve Your Seat
An admission panel will shortlist candidates based on their application
- 3Start Learning
Selected candidates can begin the program within 1-2 weeks
Start Application
Career Support
Career Assistance
During your bootcamp and for a full year after your graduation, you can access the Fullstack Academy Career Success Program to help achieve your desired career outcomes.
1:1 career coaching and interview prep
Access to a curated career success platform
Career success workshops & career practicum lessons
Alumni panels, guest lectures, and other industry events
Demand For Program
Demand for AI engineers is climbing across the United States, and it now reaches well beyond the major tech hubs. From finance and healthcare to retail and logistics, companies want people who can build AI agents: software that reasons, automates tasks, and acts on its own. In a single year, postings mentioning agentic AI skills grew more than 280%, according to the 2026 Stanford AI Index Report, roughly 90,000 open roles in the U.S. alone. As organizations move from experimenting with AI to running it in daily operations, that demand keeps rising.
The larger story is the opportunity this creates. AI skills now appear in 2.5% of all U.S. job postings, up 297% over the past decade, and the fastest growth is in deployment-oriented work: getting systems into production and keeping them running.
Demand For Program
Know More About This Program
The Applied AI Engineer Bootcamp is a 20-week online bootcamp from Columbia Engineering Executive Education in collaboration with Fullstack Academy, designed for graduates and professionals from any background who are eager to learn AI concepts and programming.
Where most AI courses stop at prompting, this bootcamp goes beyond prompting to the systems that run in production, taught in real time by Fullstack Academy instructors, alongside a committed cohort.
Stand Out With a University-Backed Credential
- Learn from modules and masterclasses led by Columbia Engineering faculty.
- Earn a joint certificate from Columbia Engineering Executive Education and Fullstack Academy.
Build a Portfolio That Proves You Can Do the Work
- Turn each module into working systems through applied projects, leading to a capstone project.
- Gain skills to engineer RAG, model fine-tuning, and multi-agent systems for production.
Live Online Classes With Fullstack Academy Instructors
- Learn through 100+ hours of live instruction, with office hours available for additional questions and support.
- Move from concept to application within the same session through guided, hands-on labs.
Designed for Professionals from any Background
- The bootcamp includes a self-paced coding prep course, specifically designed to help non-coders enter on equal footing.
- We strongly recommend completing it before the first class to keep pace with this intensive bootcamp.
Program FAQs
Over 20 weeks, you'll progress from Python and AI/ML foundations to building generative AI, RAG, and multimodal applications, then advance to agentic AI by designing MCP-enabled tools, single- and multi-agent systems, and workflow automation. You'll finish with LLMOps, deployment, governance, and a capstone project where you take your own AI product from idea to working build.
About Columbia Engineering Executive Education Partnership
Columbia Engineering Executive Education offers customized online bootcamps designed to upskill working professionals and help organizations achieve their strategic goals. The institution addresses the evolving demands of today’s technology landscape by preparing future engineering leaders and fostering technical expertise across industries.
In collaboration with Fullstack Academy, Columbia Engineering Executive Education offers immersive technology bootcamps designed to equip learners with practical, industry-relevant skills through live online instruction, hands-on projects, and career-focused support. The bootcamp combines applied learning with a collaborative educational experience to help learners build capabilities for today’s evolving technology landscape.