Course Overview
This strategic course equips technology leaders with the frameworks and skills needed to build successful AI partnerships and navigate the complex AI vendor ecosystem. You’ll learn to evaluate AI vendors beyond surface-level features, understanding critical factors like model performance, pricing models, and lock-in risks. Through practical exercises and real-world scenarios, you’ll master the art of structuring innovation labs, collaborating with startups, and making informed decisions between open source and proprietary AI solutions.
The course goes beyond vendor selection to address the full lifecycle of AI partnerships, from initial evaluation through long-term governance. You’ll explore different collaboration models, learn to negotiate AI-specific contracts, and develop strategies for building synergistic partner ecosystems. Whether you’re establishing an AI Center of Excellence, launching innovation initiatives, or making critical build-vs-buy decisions, this course provides the practical tools and frameworks you need to succeed.
Learning Objectives
- Evaluate AI vendors using comprehensive technical and strategic criteria
- Design effective innovation lab structures and partnership models
- Navigate trade-offs between open source and proprietary AI solutions
- Build sustainable AI partner ecosystems across the value chain
- Negotiate AI-specific contracts addressing unique risks and requirements
- Create governance frameworks for managing AI dependencies
- Develop strategies for startup collaboration and co-innovation
Topics Covered
- AI Vendor Evaluation - Technical, commercial, and strategic assessment criteria
- Partnership Management - Contract negotiation, SLAs, and performance monitoring
- Ecosystem Design - Building complementary partnerships across AI value chain
- Innovation Labs - Structuring internal, joint, and virtual innovation models
- Startup Collaboration - Scouting, pilots, and scaling successful innovations
- Open Source Strategy - Comparing costs, risks, and benefits with proprietary options
- Hybrid Approaches - Combining open source and commercial solutions effectively
- Partnership Governance - Risk management and future-proofing strategies
What You Get
- Comprehensive vendor evaluation frameworks and checklists
- Contract negotiation templates for AI partnerships
- Innovation lab design blueprints
- Startup collaboration playbooks
- Open source vs proprietary decision matrices
- Ecosystem mapping tools
- Governance frameworks for AI partnerships