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Training Camp's 2-day AI Advanced boot camp covers machine learning model development, neural networks, and production AI deployment. For professionals building on AI foundational knowledge.

Advanced AI Course – Prompting was the easy part.

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Go further in 2 days. Hands-on projects.

Our 2-day Advanced AI course covers machine learning, advanced models, AI governance and implementation, with hands-on projects. Train live online or in person.

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Student
Student
Student
Join 250,000+ trained alumni.
Hands-on projects included
Emilio Vespar, Training Camp mascot, in a crewneck sweater

Certified Instructors

Learn from the Best

Official Training Camp

Authorized Training

Live online or in person. Same instructors.

Two Days. Hands-On. Real projects. Real case studies.

Two days of live, hands-on work with machine learning, advanced models and AI governance. This is a skills course, with no certification exam.

Program Abstract

REF: AI-ADV 6
Official vendor courseware, taught as published.
Format Live, Instructor-Led
Duration 2

From AI-Literate to AI-Capable.

This intensive 2-day boot camp moves you from AI-literate to AI-capable. You’ll work through machine learning and deep learning fundamentals, advanced neural networks, computer vision, and reinforcement learning, then apply that technical foundation to AI governance frameworks including NIST AI RMF, ISO 42001, and the EU AI Act. Hands-on labs cover threat modeling with MITRE ATLAS and OWASP, explainability tools like SHAP and LIME, and a final AI implementation project. Built for AI program managers, CTOs, risk professionals, and DevSecOps teams who need technical credibility without becoming data scientists.

ML Fundamentals to Neural Networks.

Day one walks you through machine learning and deep learning, advanced algorithms, and AI in big data analytics. Day two goes deep on advanced neural networks, computer vision techniques, and reinforcement learning. The technical foundation that makes the governance conversations real.

Hands-On AI Governance.

Implement NIST AI RMF and ISO 42001 with checklists, evidence artifacts, and audit-ready documentation. Coverage includes SOC 2 alignment, DevSecOps integration, and EU AI Act compliance, so you operationalize governance instead of just describing it.

Built for Technical Leaders.

Designed for AI program managers, CTOs, risk professionals, DevSecOps teams, and consultants. You leave with threat models built using MITRE ATLAS and OWASP, a prototype governance dashboard, and a 90-day implementation roadmap with OKRs.

·
Training materials including official courseware and study guides
Practitioner Led
Our instructors work in the fields they teach, not just in the classroom.

"Bring a real task. I’ll show you how people are actually using AI to get it done faster."

Brian D'Andrea

Lead Instructor All of our trainers carry a wide range of certifications, including the certification for every program they teach or manage.

Choose Your Delivery Mode.

Same Curriculum
In-person classroom training session
A

In-Person

Immersive classroom instruction with direct instructor access, hands-on labs and peer collaboration.

  • Face-to-face instruction
  • Group whiteboard sessions
Student attending live online training
B

Live Online

The same instructors and curriculum, delivered live from anywhere on our virtual learning platform.

  • Zero travel required
  • Interactive breakout rooms
Offer

Save on this course with a current special offer

Team pricing, military discounts and a limited-time offer of the week. See what applies before you book.

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COURSE STRUCTURE

Artificial Intelligence Boot Camp
Syllabus

A structured path designed for working professionals.
Each day builds on the last—momentum is everything.

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MODULE_ID: PREP
Live Training QS: ~5
BEFORE CLASS
Critical Path

Before Class

Pre-course materials access
L.prep.1
Foundation concepts review
L.prep.2
Baseline self-assessment
L.prep.3
Progress Buffer 20% ALLOCATED
09:00
End 17:00
MODULE_ID: TC-AAI-01
Live Training QS: ~5
DAY 1
Critical Path

Machine Learning, Deep Learning and Advanced Models

Supervised, Unsupervised and Reinforcement Learning Compared
L.01.1
Advanced Algorithms: Gradient Boosting, SVMs and Ensembles
L.01.2
Forward Propagation, Backpropagation and Loss Functions
L.01.3
Hyperparameter Tuning, Overfitting and Regularization
L.01.4
AI in Big Data: Pipelines, Feature Stores and Scale
L.01.5
Lab: Train and Tune a Classification Model
L.01.6
Lab: Evaluate Models With Confusion Matrices and ROC Curves
L.01.7
Model Evaluation and Optimization for Production Use
L.01.8
Advanced Neural Network Architectures: CNNs, RNNs and Transformers
L.01.9
Attention Mechanisms and Large Language Model Internals
L.01.10
Computer Vision: Classification, Detection and Segmentation
L.01.11
Reinforcement Learning: Agents, Rewards and Policies
L.01.12
Lab: Fine-Tune a Pretrained Computer Vision Model
L.01.13
Lab: Train a Reinforcement Learning Agent in Simulation
L.01.14
Retrieval-Augmented Generation Versus Fine-Tuning Trade-Offs
L.01.15
Deployment Patterns: MLOps, Monitoring and Model Drift
L.01.16
Progress Buffer 20% ALLOCATED
09:00
End 17:00
MODULE_ID: TC-AAI-02
Live Training QS: ~6
DAY 2
Critical Path

AI Governance, Security and Implementation

NIST AI RMF Functions: Govern, Map, Measure and Manage
L.02.1
NIST AI 600-1 Generative AI Profile Risk Actions
L.02.2
ISO/IEC 42001:2023 AI Management System Requirements
L.02.3
EU AI Act Risk Tiers and Compliance Obligations
L.02.4
SOC 2 Alignment and DevSecOps Integration for AI Pipelines
L.02.5
Lab: Build an AI RMF Checklist and Evidence Artifacts
L.02.6
Lab: Mock ISO 42001 Audit With Documentation Review
L.02.7
AI Ethics: Bias Testing, Fairness Metrics and Transparency
L.02.8
MITRE ATLAS Tactics and Techniques Against ML Systems
L.02.9
OWASP Top 10 for LLM Applications Walkthrough
L.02.10
Lab: Prompt Injection and Data Poisoning Demonstration
L.02.11
Lab: Threat Model an AI System With MITRE ATLAS
L.02.12
Lab: Explain Model Decisions With SHAP and LIME
L.02.13
Lab: Prototype an AI Governance Dashboard
L.02.14
90-Day Implementation Roadmap With OKRs
L.02.15
Capstone: Comprehensive AI Implementation Project Presentation
L.02.16
Progress Buffer 40% ALLOCATED
09:00
End 17:00
MODULE_ID: POST
Live Training QS: ~6
AFTER CLASS
Critical Path

After Class

There is no exam for this course.
L.post.1
Progress Buffer 40% ALLOCATED
09:00
End 17:00
COURSE PROGRESS Day 0 of 2
FREQUENTLY ASKED QUESTIONS

AI Advanced
Boot Camp FAQ

Real questions from IT pros deciding if this course fits.
Here's how we answer them.

Yes, AI Advanced builds directly on concepts from our AI Foundations course. You need solid understanding of AI types, ethics basics, and governance frameworks before tackling advanced threat modeling, technical implementations, and strategic planning covered in this intensive program.

Unlike courses that only mention frameworks, we provide hands-on implementation of NIST AI RMF and ISO 42001, complete with checklists, evidence artifacts, and audit readiness strategies. You’ll learn to operationalize governance, not just understand it, plus advanced GRC topics like SOC 2 alignment and DevSecOps integration that technical courses typically overlook.

We bridge the gap between high-level business courses and deep technical training. You’ll understand forward propagation, backpropagation, and transformers through practical analogies, then apply that knowledge to real threat modeling using MITRE ATLAS and OWASP frameworks, which suits leaders who need technical credibility without becoming data scientists.

This course is designed for AI program managers, CTOs, risk professionals, DevSecOps teams, and consultants implementing AI governance. If you’re responsible for AI strategy, security, or compliance, and need to move beyond basic AI literacy to practical implementation, this training provides the advanced skills you need.

You’ll complete threat modeling exercises using real frameworks, build a prototype AI governance dashboard, conduct mock audits, and create a 90-day implementation roadmap with OKRs. Every module includes interactive labs, from prompt injection demonstrations to SHAP/LIME explainability tools, so you leave with immediately applicable skills.

Beyond covering current regulations like the EU AI Act, we teach you to build adaptive governance systems that scale with regulatory changes. You’ll master audit readiness, evidence documentation, and compliance automation strategies that work across multiple frameworks, essential as AI regulation evolves globally.

Get the Free
AI Advanced Course Guide

  • What the course covers, day by day
  • The lab environment and what you build in it
  • How the certificate of completion works
Student Success Stories

What Our Students Say

Join thousands of IT professionals who trained with Training Camp

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★★★★★

Training Camp’s trainers, especially our instructor Jeff, are in a class of their own. His blend of industry knowledge and teaching acumen is outstanding.

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Mik* Guz*** U**F
★★★★★

As a project manager, I found his insights invaluable. He simplified complex AI concepts, making them digestible for everyone. Training Camp is truly fortunate t...

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Chr** Bee*** D**a Corp
★★★★★

Sarah, our trainer at Training Camp, was exceptional. Her approach to training was personalized, making it feel like she was mentoring each one of us individually.

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Lea Ree* U**Army NCOS
★★★★★

I left the class with a new-found confidence.

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