AI Strategy & Business Integration Specialization_Course 4

AI Vendor Evaluation & Implementation Management

What you’ll learn
Map the AI vendor landscape and identify solutions aligned with specific business needs.
Develop an AI solution RFP and evaluation scorecard for vendor assessment.
Plan an AI implementation project with appropriate milestones, dependencies, and risk mitigation.
Define success metrics, KPIs, and continuous improvement processes for AI initiatives.

Requirements
No formal prerequisites required.
Basic familiarity with business operations and strategic planning concepts is helpful but not mandatory.

Description
Disclaimer: This course contains the use of artificial intelligence.

Course Description

Selecting the right AI solution and ensuring its successful implementation are critical steps in realizing business value from artificial intelligence. This capstone course equips professionals with the practical skills to evaluate AI vendors, manage procurement processes, oversee implementation projects, and define success metrics for continuous improvement.

Through a structured blend of video lectures, curated readings, interactive labs, and scenario-based assessments, you will learn to map the AI vendor landscape, develop RFPs and evaluation scorecards, plan implementation projects with milestones and risk mitigation strategies, and design KPI frameworks to measure AI success.

The course culminates in a capstone project where you will produce a Vendor Selection Recommendation Report, including evaluation criteria, cost-benefit analysis, implementation planning, and success metrics—mirroring the deliverables expected of procurement and project leaders in real-world AI initiatives.

What You’ll Learn

• Map the AI vendor landscape and identify solutions aligned with business needs.

• Develop RFPs and evaluation scorecards to assess vendor capabilities and fit.

• Plan AI implementation projects with milestones, dependencies, and risk mitigation strategies.

• Define success metrics, KPIs, and continuous improvement processes for AI initiatives.

• Deliver a professional Vendor Selection Recommendation Report with actionable insights.

Course Structure

• Module 4.1: AI Solution Landscape & Vendor Ecosystem – Explore the vendor ecosystem and map solutions to business needs.

• Module 4.2: AI Procurement & Implementation Management – Build RFPs, evaluate vendors, and design implementation timelines.

• Module 4.3: Measuring AI Success & Continuous Improvement – Define KPIs, success metrics, and continuous improvement frameworks.

• Course-End Project: Deliver a Vendor Selection Recommendation Report with evaluation scorecard, implementation plan, and success metrics.

• Comprehensive Examination: Test mastery with a graded assessment covering vendor evaluation, procurement, implementation, and measurement.

Who this course is for
Business Analysts, Project Managers, and Operations Managers seeking AI literacy.
Department Heads and Consultants exploring AI integration strategies.
Mid-career professionals (3–10 years experience) in business, management, or strategy roles.
Professionals seeking to lead AI initiatives without requiring technical coding skills.