Georgia General Assembly

Platform Engineer

• Deliver high-energy, synchronous remote lectures and "prompt-along" sessions covering ML pipelines, model deployment, and monitoring.
• Translate high-level MLOps concepts into digestible insights for learners.
• Guide students through self-paced exercises and live troubleshooting.
• Provide real-time feedback during dedicated lab hours.
• Ensure students can successfully articulate and execute model lifecycle management strategies by the end of the cohort.

Lead Instructor – MLOps, AI Platform Engineering

Product Marketing

• Deliver high-energy remote lectures on PMM fundamentals
• Guide students through hands-on activities creating messaging frameworks
• Leverage learners' strengths for AI-driven customer stories
• Provide expert feedback on student projects
• Teach use of analytics and AI content tools

Lead Instructor – AI-Enabled Product Marketing Manager

Product Manager

• Deliver live, high-impact remote lectures on AI product discovery frameworks, including Jobs-to-be-Done (JTBD) and OKRs applied to AI features.
• Lead "prompt-along" sessions and guide students through hands-on, self-paced exercises to ensure technical and conceptual mastery.
• Help learners navigate the nuances of AI roadmapping, product prioritization, and the internal/external positioning of LLM-powered products.
• Provide expert guidance on using the Microsoft product suite, specifically Copilot and Azure AI Foundry, within the product management lifecycle.
• Evaluate student progress and provide actionable feedback on their ability to scope and define AI-enabled product features.

Lead Instructor – AI-Enabled Product Manager

AI Engineer

• Lead synchronous remote lectures and "build-along" sessions
• Guide students through hands-on exercises including agent design patterns and API integration
• Provide real-time troubleshooting and debugging support in Python
• Break down complex systems-thinking into actionable steps
• Hold dedicated sessions for student feedback and guidance

Lead Instructor, Agentic AI Engineering

• Review and validate competencies and learning objectives for the AI-Enabled PM pathway
• Provide feedback on instructional slide content generated via Gaia (GA's AI-assisted build tool)
• Review async assets including prompt-alongs and self-paced exercises for accuracy and relevance
• Participate in one structured SME review gate (approximately 1 week, late May)
• Provide a single round of revision feedback for the LED to implement before QA

AI-Enabled Product Manager

• Review and validate competencies and learning objectives for the MLOps / AI Platform Engineer pathway
• Validate technical accuracy of instructional slide content covering ML pipelines, model deployment, monitoring, and governance
• Review async assets including prompt-alongs and self-paced exercises for technical correctness and appropriate difficulty level for the learner population (experienced customer-facing professionals, not engineers)
• Participate in one structured SME review gate (approximately 1 week, early June)
• Provide a single round of revision feedback for the LED to implement before QA

Lead Instructor – MLOps, AI Platform Engineering

Lead Instructor – AI-Enabled Product Marketing Manager

Lead Instructor – AI-Enabled Product Manager

Lead Instructor, Agentic AI Engineering

AI-Enabled Product Manager

MLOps Engineer, AI Platform Expert