Lilly Tech Systems
Learn AI Vendor Selection
Navigate the complex AI vendor landscape with confidence. Learn evaluation frameworks, compare LLM providers and ML platforms, understand procurement processes, and apply best practices to select the right AI solutions for your organization.
Your Learning Path
Follow these lessons in order to master AI vendor evaluation and selection.
1. Introduction
Why vendor selection matters, the AI vendor landscape, and common mistakes organizations make when choosing AI solutions.
2. Evaluation Framework
Build a structured framework for evaluating AI vendors across performance, cost, security, support, and scalability.
3. LLM Providers
Compare major LLM providers: OpenAI, Anthropic, Google, Meta, Mistral. Pricing, capabilities, and use cases.
4. ML Platforms
Evaluate ML platforms: AWS SageMaker, Azure ML, Google Vertex AI, Databricks, and specialized MLOps tools.
5. Procurement
Navigate the procurement process: RFPs, contract negotiation, SLAs, compliance requirements, and vendor management.
6. Best Practices
Proven strategies for vendor evaluation, avoiding lock-in, managing multi-vendor environments, and ongoing assessment.
What You'll Learn
By the end of this course, you'll be able to:
Evaluate AI Vendors
Apply structured frameworks to assess vendors objectively across multiple dimensions.
Compare Providers
Make informed decisions between major LLM providers and ML platforms based on your specific needs.
Negotiate Contracts
Understand procurement processes, SLAs, and contract terms for AI vendor agreements.
Manage Vendors
Build a multi-vendor strategy that avoids lock-in and adapts to the evolving AI landscape.