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Master Certificate in Generative AI for Business Leaders

Harness AI to Transform Strategy, Operations & Decision-Making Across the Enterprise

Designed for business leaders, this program builds essential literacy in AI, machine learning, and generative AI—equipping you to lead enterprise-wide transformation. You'll explore the GenAI tech stack, foundation models, and scalable cloud deployment strategies, while uncovering practical applications in automation, customer experience, marketing, and R&D. With a focus on ROI, responsible AI, and competitive advantage, you'll gain the tools to turn AI innovation into impactful, strategic outcomes.

Harness AI to Transform Strategy, Operations & Decision-Making Across the Enterprise

Talk to an Advisor

Mentor-Guided Learning

The bridge between learning and employment—built to close your experience gap.

Experience is what gets you hired.

Our mentorship format provides the practical context, accountability, and professional feedback that traditional instruction lacks.

You don't just follow a syllabus; you learn the way real tech teams work.

01 — Build Foundation

Curated Learning Platform.

Master the essentials at your own pace with industry-aligned modules and labs designed to get you up to speed quickly.

02 — Learn From Experts

1-on-1 Live Mentorship

Work directly with an active IT professional in weekly 1-on-1 sessions. Get personalized guidance, real-time feedback, and clear answers while learning real industry tools and workflows.

03 — Apply Knowledge

Safe, Real-World Practice.

Move from concepts to action. Tackle realistic projects in your own private sandbox with expert review at every step.

The Goal

Job-Ready Confidence.

Step into the market knowing how to think, communicate, and perform like a professional

masters

Program at a Glance

Enrollment

On Demand

Admission

Discovery Session

Program Duration

6 Months

Class Schedule

Flexible Weekly Check-in

Talk to an Advisor

Mentor-Guided Learning

The bridge between learning and employment—built to close your experience gap.

Experience is what gets you hired.

Our mentorship format provides the practical context, accountability, and professional feedback that traditional instruction lacks.

You don't just follow a syllabus; you learn the way real tech teams work.

01 — Build Foundation

Curated Learning Platform.

Master the essentials at your own pace with industry-aligned modules and labs designed to get you up to speed quickly.

02 — Learn From Experts

1-on-1 Live Mentorship

Work directly with an active IT professional in weekly 1-on-1 sessions. Get personalized guidance, real-time feedback, and clear answers while learning real industry tools and workflows.

03 — Apply Knowledge

Safe, Real-World Practice.

Move from concepts to action. Tackle realistic projects in your own private sandbox with expert review at every step.

The Goal

Job-Ready Confidence.

Step into the market knowing how to think, communicate, and perform like a professional

masters

Program at a Glance

Enrollment

On Demand

Admission

Discovery Session

Program Duration

6 Months

Class Schedule

Flexible Weekly Check-in

Talk to an Advisor

Mentor-Guided Learning

The bridge between learning and employment—built to close your experience gap.

Experience is what gets you hired.

Our mentorship format provides the practical context, accountability, and professional feedback that traditional instruction lacks.

You don't just follow a syllabus; you learn the way real tech teams work.

01 — Build Foundation

Curated Learning Platform.

Master the essentials at your own pace with industry-aligned modules and labs designed to get you up to speed quickly.

02 — Learn From Experts

1-on-1 Live Mentorship

Work directly with an active IT professional in weekly 1-on-1 sessions. Get personalized guidance, real-time feedback, and clear answers while learning real industry tools and workflows.

03 — Apply Knowledge

Safe, Real-World Practice.

Move from concepts to action. Tackle realistic projects in your own private sandbox with expert review at every step.

The Goal

Job-Ready Confidence.

Step into the market knowing how to think, communicate, and perform like a professional

masters

Program at a Glance

Enrollment

On Demand

Admission

Discovery Session

Program Duration

6 Months

Class Schedule

Flexible Weekly Check-in

Talk to an Advisor

Program Overview

Lead your organization’s GenAI transformation with confidence. This executive-focused program blends strategic insight with hands-on experience, enabling leaders to drive innovation, operational efficiency, and responsible AI adoption across business functions. Through real-world case studies, expert-led sessions, and industry-relevant projects, you’ll learn to turn GenAI from a buzzword into a business advantage.

Course Outline

This executive-level Generative AI training for business leaders equips you with the strategic skills to lead enterprise-wide GenAI adoption and innovation. Explore high-impact generative AI use cases in sales, marketing, data analytics, engineering, and operations. Learn to evaluate AI opportunities, implement scalable AI-powered business solutions, and accelerate digital transformation to boost efficiency, innovation, and measurable business outcomes.

Download Outline

AI Literacy for Business Leaders

Generative AI Tech Stack

Workflow Automation with AI

Framer is a web builder for creative pros. Be sure to check out framer.com to learn more.

SKILLS GAINED

……………………..

Generative AI Tech Stack

Understand the tools, infrastructure, and deployment practices required to scale enterprise-grade generative AI solutions. Learn to balance performance, cost, and scalability while leveraging cloud environments.

Concepts Learned:

GenAI infrastructure and components
Foundation models: open-source vs. proprietary
Scalability and cost trade-offs
LLMOps and AI deployment workflows
Fine-tuning vs. Retrieval-Augmented Generation (RAG)
Cloud and compute resources for scaling AI

SKILLS GAINED

……………………..

Generative AI Use Cases: Software Engineering

Generative AI Use Cases: Product R&D

Framer is a web builder for creative pros. Be sure to check out framer.com to learn more.

SKILLS GAINED

……………………..

Workflow Automation with AI

Automate repetitive tasks and streamline workflows with AI-powered tools. Learn to build integrations with Zapier, OpenAI APIs, and automation frameworks for sales, marketing, and operations.

Concepts Learned:

Workflow automation fundamentals
Zapier triggers and multistep Zaps
OpenAI API integration for smart tasks
Content, email, and social automation
Debugging and scaling automated workflows

SKILLS GAINED

……………………..

Generative AI Use Cases: Sales & Marketing

Discover how Generative AI transforms sales and marketing through personalized campaigns, predictive analytics, and AI-powered engagement.

Concepts Learned:

AI in lead generation and segmentation
AI-generated content and personalized campaigns
Sales forecasting and predictive analytics
Conversational AI for engagement
Case studies and implementation challenges

SKILLS GAINED

……………………..

Generative AI Use Cases: Customer Service

Enhance customer service operations with AI-driven personalization, automated problem resolution, and sentiment analysis.

Concepts Learned:

AI in customer service operations
Chatbot and virtual assistant deployment
Automated resolution workflows
Sentiment analysis for insights
Case studies in service automation

SKILLS GAINED

……………………..

Generative AI Use Cases: Software Engineering

Description:
Learn how AI accelerates software development with automated code generation, testing, documentation, and security assessments.

Concepts Learned:

AI-assisted code writing and completion
Test generation and automated QA
Documentation generation with AI
Code optimization and refactoring
AI-powered UI/UX design support
Future of no-code AI-driven development

SKILLS GAINED

……………………..

Generative AI Use Cases: Data Analytics

Transform data analytics workflows using AI-driven insights, anomaly detection, predictive modeling, and scenario simulation.

Concepts Learned:

AI-powered data exploration
Pattern recognition and hypothesis generation
Anomaly and outlier detection
Predictive modeling and forecasting
Scenario simulations and risk analysis

SKILLS GAINED

……………………..

Generative AI Use Cases: Product R&D

Accelerate product innovation with AI-driven research, market analysis, and prototyping.

Concepts Learned:

AI in market research and customer journey mapping
AI-driven prototyping and rapid design
SWOT and risk analysis with AI insights
Predictive UX and real-time monitoring
Ethical considerations in AI-powered R&D

SKILLS GAINED

……………………..

Ethics and Economics of Generative AI

Understand the financial and ethical implications of deploying GenAI, from ROI measurement to regulatory compliance.

Concepts Learned:

Cost modeling and AI project ROI
Economic trade-offs of AI vs. manual workflows
Fairness, bias, and accountability risks
Data privacy and compliance frameworks
Future global regulatory trends in AI

SKILLS GAINED

……………………..

Microsoft Copilot for Business

Framer is a web builder for creative pros. Be sure to check out framer.com to learn more.

SKILLS GAINED

……………………..

AI Literacy for Business Leaders

Gain foundational knowledge of AI, ML, and Generative AI tailored for business leaders. Understand how core technologies like neural networks, GANs, transformers, and LLMs create business value and inform strategic decision-making.

Concepts Learned:

AI, ML, and Generative AI fundamentals
Key differences between AI and Generative AI
Supervised, unsupervised, and reinforcement learning
Neural networks, GANs, transformers, and LLMs
Chatbots for customer engagement and automation
AI output tuning: temperature & sampling methods

SKILLS GAINED

……………………..

AI Literacy for Business Leaders

Generative AI Use Cases: Sales & Marketing

Generative AI Use Cases: Customer Service

Generative AI Use Cases: Data Analytics

Ethics and Economics of Generative AI

Workflow Automation with AI

Automate repetitive tasks and streamline workflows with AI-powered tools. Learn to build integrations with Zapier, OpenAI APIs, and automation frameworks for sales, marketing, and operations.

Concepts Learned:

Workflow automation fundamentals
Zapier triggers and multistep Zaps
OpenAI API integration for smart tasks
Content, email, and social automation
Debugging and scaling automated workflows

SKILLS GAINED

……………………..

Generative AI Use Cases: Sales & Marketing

Discover how Generative AI transforms sales and marketing through personalized campaigns, predictive analytics, and AI-powered engagement.

Concepts Learned:

AI in lead generation and segmentation
AI-generated content and personalized campaigns
Sales forecasting and predictive analytics
Conversational AI for engagement
Case studies and implementation challenges

SKILLS GAINED

……………………..

Generative AI Use Cases: Customer Service

Enhance customer service operations with AI-driven personalization, automated problem resolution, and sentiment analysis.

Concepts Learned:

AI in customer service operations
Chatbot and virtual assistant deployment
Automated resolution workflows
Sentiment analysis for insights
Case studies in service automation

SKILLS GAINED

……………………..

Generative AI Use Cases: Software Engineering

Description:
Learn how AI accelerates software development with automated code generation, testing, documentation, and security assessments.

Concepts Learned:

AI-assisted code writing and completion
Test generation and automated QA
Documentation generation with AI
Code optimization and refactoring
AI-powered UI/UX design support
Future of no-code AI-driven development

SKILLS GAINED

……………………..

Generative AI Use Cases: Data Analytics

Transform data analytics workflows using AI-driven insights, anomaly detection, predictive modeling, and scenario simulation.

Concepts Learned:

AI-powered data exploration
Pattern recognition and hypothesis generation
Anomaly and outlier detection
Predictive modeling and forecasting
Scenario simulations and risk analysis

SKILLS GAINED

……………………..

Generative AI Use Cases: Product R&D

Accelerate product innovation with AI-driven research, market analysis, and prototyping.

Concepts Learned:

AI in market research and customer journey mapping
AI-driven prototyping and rapid design
SWOT and risk analysis with AI insights
Predictive UX and real-time monitoring
Ethical considerations in AI-powered R&D

SKILLS GAINED

……………………..

Ethics and Economics of Generative AI

Understand the financial and ethical implications of deploying GenAI, from ROI measurement to regulatory compliance.

Concepts Learned:

Cost modeling and AI project ROI
Economic trade-offs of AI vs. manual workflows
Fairness, bias, and accountability risks
Data privacy and compliance frameworks
Future global regulatory trends in AI

SKILLS GAINED

……………………..

Microsoft Copilot for Business

Learn to integrate Microsoft Copilot into enterprise workflows to boost productivity across sales, IT, HR, marketing, and finance.

Concepts Learned:

Microsoft Copilot features and capabilities
Copilot in sales optimization and proposal writing
Copilot for IT troubleshooting and security
Copilot for marketing, finance, and HR tasks
Best practices for Copilot adoption

SKILLS GAINED

……………………..

AI Literacy for Business Leaders

Framer is a web builder for creative pros. Be sure to check out framer.com to learn more.

SKILLS GAINED

……………………..

Generative AI Tech Stack

AI Literacy for Business Leaders

Workflow Automation with AI

Generative AI Use Cases: Sales & Marketing

Framer is a web builder for creative pros. Be sure to check out framer.com to learn more.

SKILLS GAINED

……………………..

Generative AI Use Cases: Customer Service

Generative AI Use Cases: Software Engineering

Generative AI Use Cases: Data Analytics

Generative AI Use Cases: Product R&D

Ethics and Economics of Generative AI

Framer is a web builder for creative pros. Be sure to check out framer.com to learn more.

SKILLS GAINED

……………………..

Workflow Automation with AI

Automate repetitive tasks and streamline workflows with AI-powered tools. Learn to build integrations with Zapier, OpenAI APIs, and automation frameworks for sales, marketing, and operations.

Concepts Learned:

Workflow automation fundamentals
Zapier triggers and multistep Zaps
OpenAI API integration for smart tasks
Content, email, and social automation
Debugging and scaling automated workflows

SKILLS GAINED

……………………..

Generative AI Use Cases: Sales & Marketing

Discover how Generative AI transforms sales and marketing through personalized campaigns, predictive analytics, and AI-powered engagement.

Concepts Learned:

AI in lead generation and segmentation
AI-generated content and personalized campaigns
Sales forecasting and predictive analytics
Conversational AI for engagement
Case studies and implementation challenges

SKILLS GAINED

……………………..

Generative AI Use Cases: Customer Service

Enhance customer service operations with AI-driven personalization, automated problem resolution, and sentiment analysis.

Concepts Learned:

AI in customer service operations
Chatbot and virtual assistant deployment
Automated resolution workflows
Sentiment analysis for insights
Case studies in service automation

SKILLS GAINED

……………………..

Generative AI Use Cases: Software Engineering

Description:
Learn how AI accelerates software development with automated code generation, testing, documentation, and security assessments.

Concepts Learned:

AI-assisted code writing and completion
Test generation and automated QA
Documentation generation with AI
Code optimization and refactoring
AI-powered UI/UX design support
Future of no-code AI-driven development

SKILLS GAINED

……………………..

Generative AI Use Cases: Data Analytics

Transform data analytics workflows using AI-driven insights, anomaly detection, predictive modeling, and scenario simulation.

Concepts Learned:

AI-powered data exploration
Pattern recognition and hypothesis generation
Anomaly and outlier detection
Predictive modeling and forecasting
Scenario simulations and risk analysis

SKILLS GAINED

……………………..

Ethics and Economics of Generative AI

Understand the financial and ethical implications of deploying GenAI, from ROI measurement to regulatory compliance.

Concepts Learned:

Cost modeling and AI project ROI
Economic trade-offs of AI vs. manual workflows
Fairness, bias, and accountability risks
Data privacy and compliance frameworks
Future global regulatory trends in AI

SKILLS GAINED

……………………..

Microsoft Copilot for Business

Learn to integrate Microsoft Copilot into enterprise workflows to boost productivity across sales, IT, HR, marketing, and finance.

Concepts Learned:

Microsoft Copilot features and capabilities
Copilot in sales optimization and proposal writing
Copilot for IT troubleshooting and security
Copilot for marketing, finance, and HR tasks
Best practices for Copilot adoption

SKILLS GAINED

……………………..