Master the tools, techniques, and ethics behind AI-driven missions and become a certified AI/ML leader in the federal space.
Scope Statement:
This industry-defining, 5-day course is built for professionals ready to lead the Department of Defense’s AI transformation. Aligned with the DoD 8140 work role for AI/ML Specialists (623), this immersive program blends hands-on labs, expert instruction, and real-world scenarios to develop confident, mission-ready AI/ML practitioners.
From foundational concepts to advanced deployment strategies, you’ll gain the skills to design, build, and evaluate AI systems that are secure, ethical, and operationally effective. The course aligns with a separate 3-hour AI/ML Specialist certification exam that validates your expertise and readiness to support AI initiatives across defense and federal agencies.
During this course, you will gain the skills to:
- Speak the language of AI: Grasp essential terms, frameworks, and tools that power intelligent systems.
- Build and apply ML models: Use supervised and unsupervised techniques to solve complex, real-world problems in Python.
- Evaluate and deploy with confidence: Monitor model performance, detect drift, and operationalize your solutions.
- Think like a defender: Integrate cybersecurity principles to protect AI systems from adversarial threats.
- Lead with integrity: Navigate the ethical challenges of AI development and comply with emerging regulations.
- Stay ahead of the curve: Explore future-forward trends and innovations shaping the next decade of AI.
- Get hands-on: Work directly in Python notebooks with step-by-step guidance in an applied learning environment.
The course follows a structured, module-based format that progressively builds your knowledge and capabilities, from foundational principles to advanced, mission-relevant implementation. Whether you’re enhancing your current role or stepping into a new one, this training equips you with the skills needed to make immediate and meaningful impact.
- Familiarity with basic data. Structures, statistics, mathematics, algebra, calculus, and computer algorithms
- Proficiency in Python programming and utilizing common data science packages (NumPy, pandas, matplotlib, etc.)
- Prior exposure to collecting, analyzing, and manipulating data
- Laptop with Anaconda/Jupyter environment installed (instructions will be provided)
