RESPONSIBLE AI FOR MANAGERS — LinkedIn Learning — October 2024
- Learn how to design and implement responsible AI practices as a manager.
- Explore ethical AI principles, accountability, and risk mitigation in management.
- Understand key management practices like decision-making, employee engagement, and psychological safety during AI implementation.
THE MANAGER'S GUIDE TO CAREER CONVERSATIONS IN THE AGE OF AI — LinkedIn Learning — October 2024
- Learn to navigate employee concerns about AI through effective, future-focused career conversations.
- Apply futurist thinking and scenario planning to coach and mentor employees in co-creating their career paths.
- Build authentic relationships using an employee-first approach to align personal aspirations with organizational goals.
HOW TO USE GENERATIVE AI: BUILDING AN AI-FIRST MINDSET — LinkedIn Learning — October 2024
- Understand the history and current impact of generative AI across industries.
- Learn to integrate AI tools into workflows for enhanced productivity and decision-making.
- Develop an AI-first mindset to future-proof your career and achieve personal and professional goals.
FUNDAMENTALS OF AGENTIC AI: BUSINESS IMPLICATIONS AND ETHICAL INSIGHTS — LinkedIn Learning — October 2024
- Understand the design, history, and key functions of agentic AI systems.
- Explore real-world business applications and case studies of agentic AI across industries.
- Learn about the ethical considerations and challenges of implementing agentic AI in business.
CHANGE MANAGEMENT FOR GENERATIVE AI - Course authorized by Vanderbilt University — Coursera — September 2024
- Introduction to Change Management for Generative AI
- The FASTER Framework for Generative AI Change Management
- Understanding Workforce Generative AI Concerns
GENERATIVE AI ESSENTIALS: OVERVIEW AND IMPACT - Course Authorized by University of Michigan — Coursera — June 2024
- Learn how generative AI works
- Explore the benefits and drawbacks of generative AI
- Learn how generative AI can integrate into our daily lives
GET STARTED WITH MICROSOFT COPILOT — LinkedIn Learning Path — May 2024
- What is Copilot? Get Started with Microsoft’s Everyday AI Companion
- Streamlining Your Work with Microsoft Copilot
- Learning Microsoft 365 Copilot
- Copilot in Word: Create and Refine Documents with AI
- Copilot in Excel: Supercharge Your Productivity
- Copilot in PowerPoint: From Prompt to Presentation
- Copilot in Teams: AI-Powered Collaboration
- Copilot in Outlook: Maximize Your Workday Efficiency
BUILD YOUR GENERATIVE AI PRODUCTIVITY SKILLS WITH MICROSOFT AND LINKEDIN — Microsoft Professional Certificate — April 2024
- Introduction to Prompt Engineering for Generative AI
- AI Productivity Hacks to Reimagine Your Workday and Career
- Generative AI Skills for Creative Content: Opportunities, Issues, and Ethics
- Copilot in PowerPoint: From Prompt to Presentation
- Excel with Copilot: AI-Driven Data Analysis
RESPONSIBLE AI FOUNDATIONS — LinkedIn Learning Path — March 2024
- Foundations of Responsible AI
- Ethics in the Age of Generative AI
- Responsible AI: Principles & Practical Applications
- AI Accountability: Build Responsible and Transparent Systems
- The State of AI & Copyright
- Introduction to AI Governance
UNDERSTANDING AI FOR CREATIVE PROFESSIONALS — LinkedIn Learning Path — June 2024
- Introduction to Artificial Intelligence
- What Is Generative AI? - Building Career Agility and Resilience in the Age of AI
- Ethics in the Age of Generative AI
- Generative AI Imaging: What Creative Pros Need to Know - Generative AI for Digital Marketers
- Integrating Generative AI into the Creative Process
BUILD AI APTITUDE AS A SENIOR MANAGER — LinkedIn Learning Path — February 2024
- AI Challenges and Opportunities for Leadership
- Generative AI and Workplace Transformation
- Build AI Aptitude in Your Organization as a Leader
- Integrating Generative AI into Business Strategy
- Artificial Intelligence Case Studies in Different Business Industries
- Responsible AI to the Rescue
GOOGLE AI ESSENTIALS — Coursera — May 2024
- Use generative AI tools to help develop ideas and content, make more informed decisions, and speed up daily work tasks.
- Write clear and specific prompts to get the output you want. You’ll apply prompting techniques to help summarize, create tag lines, and more.
- Use AI responsibly by identifying AI’s potential biases and avoiding harm.
- Develop strategies to stay up to date in the emerging landscape of AI.
DEVELOP YOUR PROMPT ENGINEERING SKILLS — LinkedIn Learning Path — January 2024
- Introduction to Prompt Engineering for Generative AI
- Prompt Engineering: How to Talk to the AIs
- Mitigating Prompt Injection and Prompt Hacking
- AI Show: The Basics of Prompt Engineering with Azure OpenAI Service
- Excel and ChatGPT: Data Analysis Power Tips
- Advanced Prompt Engineering Techniques
APPLYING GENERATIVE AI AS A BUSINESS PROFESSIONAL — LinkedIn Learning Path — January 2024
- Generative AI for Business Leaders
- How to Research and Write Using Generative AI Tools
- Introduction to Prompt Engineering for Generative AI
- How to Boost Your Productivity with AI Tools
- Midjourney: Tips and Techniques for Creating Images
CAREER ESSENTIALS IN GENERATIVE AI BY MICROSOFT AND LINKEDIN — Microsoft Professional Certificate — January 2024
- What Is Generative AI?
- Generative AI: The Evolution of Thoughtful Online Search
- Streamlining Your Work with Copilot (formerly Bing Chat/Bing Chat Enterprise)
- Learning Microsoft 365 Copilot
- Ethics in the Age of Generative AI
- Introduction to Artificial Intelligence
FUNDAMENTALS TO BECOME A MACHINE LEARNING ENGINEER — LinkedIn Learning Path — July 2024
- Artificial Intelligence Foundations: Thinking Machines
- Artificial Intelligence Foundations: Machine Learning
- Machine Learning with Python: Foundations
- Deep Learning: Getting Started
- Deep Learning: Model Optimization and Tuning
- Reinforcement Learning Foundations
- Training Neural Networks in Python
MACHINE LEARNING INTRODUCTION FOR EVERYONE - Course Authorized by IBM — Coursera — April 2024
- Compare and contrast artificial intelligence, machine learning, and deep learning.
- Explain the machine learning models development lifecycle. - Differentiate between supervised and unsupervised machine learning.
- Evaluate classification models using metrics such as accuracy, confusion matrices, precision, and recall.
LINKEDIN'S AI ACADEMY — LinkedIn Learning Path — January 2024
- AI-100-1 (Demystifying AI)
- AI-100-2 (Supervised Learning with Neural Networks)
- AI-100-3 (Scaling AI at LinkedIn)
INTRODUCTION TO ARTIFICIAL INTELLIGENCE (AI) - Course Authorized by IBM — Coursera — February 2024
- Describe what is AI, its applications, use cases, and how it is transforming our lives.
- Explain terms like Machine Learning, Deep Learning, and Neural Networks.
- Describe several issues and ethical concerns surrounding AI.
- Articulate advice from experts about learning and starting a career in AI.