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Bootcamp - AI/ML Theory through Application
Learn to Think Like the Nation’s Top Intelligence Analysts
These immersive bootcamps distill the analytical rigor, problem-solving discipline, and risk-aware mindset used by the “best of the best” of the U.S. Intelligence Community—applied directly to modern AI and Machine Learning. This is how serious organizations train practitioners, not just brief leaders.
No hype. No vendor agendas. Just how elite teams actually build, test, and deploy AI when the stakes are real.
Why Trust This Training?
These bootcamps are developed and taught by Dr. Roysdon, the former Deputy Director of National Intelligence and Chief Data Scientist at the NSA, who trained analysts and technical leaders across the Intelligence Community and private sector.
The curriculum reflects how AI and advanced analytics are developed and evaluated in high-consequence environments—where correctness, robustness, and interpretability matter. That same disciplined approach is now applied to hands-on AI and machine learning training for today’s enterprise and research teams.
Bootcamp Offerings
Basic-Level AI Bootcamp
1 week | Foundational | Hands-on
Designed for aspiring data scientists and analysts, this immersive bootcamp takes students from their first Python notebook to modern deep learning workflows.
Participants learn by building. Every topic combines focused instruction with extensive hands-on implementation, reinforcing both intuition and execution.
What you will cover:
Python, Jupyter Notebooks, and data analysis fundamentals
Core concepts in statistics and machine learning
Supervised and unsupervised learning techniques
Introduction to deep learning and neural networks
Each module follows a 30% lecture / 70% hands-on format. Every student completes a custom capstone project and presents their work at the conclusion of the program.
Intermediate-Level AI Bootcamp
1 week | Applied | Intensive
This accelerated bootcamp is for practitioners with basic Python experience who want to move quickly from classical models to modern machine learning and deep learning.
The focus is on understanding why algorithms work, when to use them, and how to implement them correctly.
What you will cover:
Supervised, unsupervised, deep and reinforcement learning foundations
Core machine learning algorithms and evaluation methods
Feature engineering and model validation
Practical workflows
Instruction is delivered using a 30% lecture / 70% hands-on model. Each participant builds and presents a tailored capstone project grounded in real-world data.
Advanced-Level AI Bootcamp
1 week | Advanced | Theory-to-Practice
Designed for experienced data scientists and engineers, this advanced bootcamp dives deeply into the theory, algorithms, and system-level considerations behind modern AI.
The emphasis is on rigor, failure modes, and real-world deployment—not toy examples.
Advanced topics include:
Supervised, unsupervised, deep and reinforcement learning theory
Advanced machine learning and deep learning architectures
Model uncertainty, robustness, and interpretability
High-consequence AI design and evaluation considerations
As with all programs, the structure is 30% lecture / 70% hands-on. Each participant completes a bespoke capstone project and presents their results.
Small Cohort. High Signal. Serious Outcomes.
All bootcamps are delivered in small, highly selective cohorts of 10 participants or fewer. This format is intentional. It allows for direct instructor engagement, continuous feedback, and deep technical discussion—conditions required to build real capability, not just exposure.
Instruction is hands-on and interactive. Participants work directly with the instructor, iterate in real time, and receive individualized guidance throughout the program. The small cohort size ensures that questions are addressed immediately, assumptions are challenged, and gaps in understanding are corrected early.
Bootcamps may be delivered on-site at a client location or off-site at a dedicated conference or training center, depending on organizational needs. On-site delivery enables teams to work directly with their own data, systems, and use cases. Off-site delivery provides a focused, distraction-free environment conducive to deep learning and collaboration.
This is not lecture hall training. It is intensive, instructor-led skill development designed for teams and individuals operating in high-consequence technical environments.
Pricing
Fees are $5,000 per person. Each attendee will receive a copy of Dr. Roysdon’s AI/ML books and software, including:
Learn to Think Like the Nation’s Top Intelligence Analysts
These immersive bootcamps distill the analytical rigor, problem-solving discipline, and risk-aware mindset used by the “best of the best” of the U.S. Intelligence Community—applied directly to modern AI and Machine Learning. This is how serious organizations train practitioners, not just brief leaders.
No hype. No vendor agendas. Just how elite teams actually build, test, and deploy AI when the stakes are real.
Why Trust This Training?
These bootcamps are developed and taught by Dr. Roysdon, the former Deputy Director of National Intelligence and Chief Data Scientist at the NSA, who trained analysts and technical leaders across the Intelligence Community and private sector.
The curriculum reflects how AI and advanced analytics are developed and evaluated in high-consequence environments—where correctness, robustness, and interpretability matter. That same disciplined approach is now applied to hands-on AI and machine learning training for today’s enterprise and research teams.
Bootcamp Offerings
Basic-Level AI Bootcamp
1 week | Foundational | Hands-on
Designed for aspiring data scientists and analysts, this immersive bootcamp takes students from their first Python notebook to modern deep learning workflows.
Participants learn by building. Every topic combines focused instruction with extensive hands-on implementation, reinforcing both intuition and execution.
What you will cover:
Python, Jupyter Notebooks, and data analysis fundamentals
Core concepts in statistics and machine learning
Supervised and unsupervised learning techniques
Introduction to deep learning and neural networks
Each module follows a 30% lecture / 70% hands-on format. Every student completes a custom capstone project and presents their work at the conclusion of the program.
Intermediate-Level AI Bootcamp
1 week | Applied | Intensive
This accelerated bootcamp is for practitioners with basic Python experience who want to move quickly from classical models to modern machine learning and deep learning.
The focus is on understanding why algorithms work, when to use them, and how to implement them correctly.
What you will cover:
Supervised, unsupervised, deep and reinforcement learning foundations
Core machine learning algorithms and evaluation methods
Feature engineering and model validation
Practical workflows
Instruction is delivered using a 30% lecture / 70% hands-on model. Each participant builds and presents a tailored capstone project grounded in real-world data.
Advanced-Level AI Bootcamp
1 week | Advanced | Theory-to-Practice
Designed for experienced data scientists and engineers, this advanced bootcamp dives deeply into the theory, algorithms, and system-level considerations behind modern AI.
The emphasis is on rigor, failure modes, and real-world deployment—not toy examples.
Advanced topics include:
Supervised, unsupervised, deep and reinforcement learning theory
Advanced machine learning and deep learning architectures
Model uncertainty, robustness, and interpretability
High-consequence AI design and evaluation considerations
As with all programs, the structure is 30% lecture / 70% hands-on. Each participant completes a bespoke capstone project and presents their results.
Small Cohort. High Signal. Serious Outcomes.
All bootcamps are delivered in small, highly selective cohorts of 10 participants or fewer. This format is intentional. It allows for direct instructor engagement, continuous feedback, and deep technical discussion—conditions required to build real capability, not just exposure.
Instruction is hands-on and interactive. Participants work directly with the instructor, iterate in real time, and receive individualized guidance throughout the program. The small cohort size ensures that questions are addressed immediately, assumptions are challenged, and gaps in understanding are corrected early.
Bootcamps may be delivered on-site at a client location or off-site at a dedicated conference or training center, depending on organizational needs. On-site delivery enables teams to work directly with their own data, systems, and use cases. Off-site delivery provides a focused, distraction-free environment conducive to deep learning and collaboration.
This is not lecture hall training. It is intensive, instructor-led skill development designed for teams and individuals operating in high-consequence technical environments.
Pricing
Fees are $5,000 per person. Each attendee will receive a copy of Dr. Roysdon’s AI/ML books and software, including: