FRAMEWORK
ACADEMY
Courses
Log In
Join Free
Home
Courses
BMA: AI Strategy & Digital Transformation
AI Strategy and Technology Planning
Curriculum
1 Section
23 Lessons
30 hours
Expand all sections
Collapse all sections
Unit 2 — AI Strategy and Technology Planning
23
1.1
Gap Analysis for Ensuring AI Accountability, Explainability, and Unbias
20 mins
1.2
Selection Criteria for Foundation Models
20 mins
1.3
Evaluating Data Resource Needs
20 mins
1.4
Deep Diving into the Foundational Overview
20 mins
1.5
Compliance Requirements
20 mins
1.6
How This Book Benefits You
20 mins
1.7
A Brief Introduction to Generative AI and Foundation Models
20 mins
1.8
Growth Marketing Improvements Use Cases
20 mins
1.9
Ethical AI Should Be Top of Mind
20 mins
1.10
Choosing the Right Technology Stack for Your Deployment
20 mins
1.11
Identifying Appropriate Case Studies
20 mins
1.12
Identifying Major Technology Gaps Via a Preliminary Technology Gap Analysis
20 mins
1.13
Reviewing and Assessing Executive-Level and Company-Wide Data Literacy Needs
20 mins
1.14
Conducting a Data Skills Survey and Audit
20 mins
1.15
Real-World Implications and Case Studies
20 mins
1.16
Identifying and Recommending Your Winning Use Case
20 mins
1.17
Evaluating the Data Architecture That Is Relevant to the Project
20 mins
1.18
Defining Your Technical Vision
20 mins
1.19
Resource Allocation and Budget
20 mins
1.20
To the Business Leaders and Executives
20 mins
1.21
Introducing Fine-tuning of LLMs, RAG, and AI Agents
20 mins
1.22
Decision-Support Improvements Use Cases
20 mins
1.23
Implications When Building with Generative Models
20 mins
This content is protected, please
login
and
enroll
in the course to view this content!
S
Ask SIERA
YOUR DIGITAL ASSISTANT
×
Modal title
Main Content