Data & AI Product Management -- RS6891 Certification

Objectives

• Understand the data lifecycle, AI fundamentals, and bring Data and AI together with a Product mindset
• Structure advanced prompts (roles, guardrails, few-shot, Chain-of-Thought)
• Master the AI product lifecycle, LLMOps, RAG, agents and Build vs Buy criteria

What's covered

• Data & AI Fresco
• Prompt Master
• Product/Engineering/Data Collaboration
• AI Engineering Fundamentals
• Data & AI Product Lifecycle

Objectives

• Use the Data & AI Business Canvas and know when classic Data is enough
• Evaluate Data products (data quality, SLA) and AI products (ML vs GenAI, LLM-as-a-Judge)
• Frame a Data/AI MVP and steer DataOps/MLOps pipelines

What's covered

• Data & AI Opportunity Discovery
• Data & AI Delivery and Evaluation

Objectives

• Apply the Data as a Product approach (data contracts, SLAs) and factor in regulation (GDPR, AI Act)
• Explore multimodal capabilities (image, audio, video) with visual prompting
• Build an AI assistant suited to your day-to-day work

What's covered

• Data products & Data Governance
• Multimodal Prompt Fighter
• Building your AI assistant

Objectives

• Map AI tools by content type and produce professional content (text, image, audio, video)
• Evaluate AI content with a structured grid and factor in regulatory requirements (GDPR, AI Act, intellectual property)
• Structure the certification report (C1-C5) and prepare the oral defense

What's covered

• Overview of AI tools by content type
• Intensive production of professional content
• Responsible AI & in-depth evaluation
• Certification case study, running thread
• Templates and final preparation