AI Collaboration Framework Course

AI for Business Analysts. A framework of how to apply, integrate and ethically implement AI solutions in business. A must do course for Business Analysts with a future trend focus.

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Course curriculum

1. Lesson 1.1: Introduction to the course
2. Lesson 1.2: AI Basics - Definitions, history, and evolution
3. Lesson 1.3: AI in society - Understanding the broad impact of AI across industries
4. Lesson 1.4: Demystifying AI: Clarifying common AI terminology
5. Lesson 1 Study Notes: AI Concepts
6. Lesson 1: BA Discussion Lesson - AI Concepts
7. Lesson 1: Knowledge Quiz
1. Lesson 2.1: Case studies demonstrating AI in action in different sectors
2. Lesson 2.2: Examining the role and impact of AI on business outcomes and efficiency
3. Lesson 2: Knowledge Quiz
1. Lesson 3.1: A deep dive into AI technologies: Machine learning, deep learning, natural language processing, and robotics
2. Lesson 3.2: Understanding the nuts and bolts - How AI systems are built, trained, and deployed
3. Video 3: BA Discussion Lesson - AI Languages (Python, R, SQL)
4. Lesson 3 Study Notes: AI Languages
5. Lesson 3: Knowledge Quiz
1. Lesson 4.1: Principles of ethical AI usage and strategies for responsible AI
2. Lesson 4.2: Addressing and mitigating AI biases
3. Lesson 4.3: Navigating the regulatory and governance landscape of AI
4. Video 4: BA Discussion Lesson - AI, Ethics and the Role of the BA
5. Lesson 4: Study Notes: AI, Ethics & BA Role
6. Lesson 4: Knowledge Quiz
1. Lesson 5.1: Exploring the irreplaceable roles of human creativity, empathy, and ethics in AI
2. Lesson 5.2: Case studies: Where human-AI collaboration has led to breakthroughs
3. Lesson 5.3: Strategies to maximize human contribution in AI projects
4. Lesson 5: Study Notes: Human Contribution in AI Projects
5. Lesson 5: Knowledge Quiz
1. Lesson 6.1: Identifying essential skills for the AI-enhanced workplace - Critical thinking, creativity, emotional intelligence
2. Lesson 6.2: The importance of adaptability and lifelong learning in the age of AI
3. Lesson 6.3: Augmentation vs. Automation - How AI can complement human capabilities
4. Lesson 6.4: Prompt Engineering
5. Lesson 6a: Study Notes - Introduction to Prompt Engineering
6. Lesson 6a: Study Notes - Advanced Prompt Engineering
7. Video 6b1: BA Lesson Discussion: Where AI fits into Business Analysis
8. Video 6b2: BA Lesson Discussion - Advanced Prompt Engineering
9. Lesson 6: Knowledge Quiz
10. Lesson 6: Practical Assignment
1. Lesson 7.1: Introduction to the nuances of managing AI projects versus traditional projects
2. Lesson 7.2: Complexity and uncertainty in AI initiatives, including data and model management
3. Lesson 7.3: Ethical considerations in AI projects and best practices for ethical implementation
4. Lesson 7.4: Change management strategies for the disruptive nature of AI
5. Lesson 7.5: Risk management in AI projects: Identifying and mitigating AI-specific risks
6. Lesson 7.6: Engaging stakeholders effectively around AI projects
7. Lesson 7.7: Governance and compliance in AI: Adhering to regulations and ethical standards
8. Video 7: BA Lesson Discussion: Traditional vs. AI Projects
9. Lesson 7: Study Notes: AI Projects
10. Lesson 7: Knowledge Quiz
1. Lesson 8.1: Leadership qualities critical for managing AI's influence in the business
2. Lesson 8.2: Strategies for managing change and uncertainty in AI adoption
3. Lesson 8.3: Fostering a culture of innovation and continuous learning in teams
4. Lesson 8.4: Upskilling and preparing teams for successful AI collaboration
5. Lesson 8: Study Notes: Up-Skilling Teams for AI Collaboration
6. Lesson 8: Knowledge Quiz
1. Lesson 9.1: Introduction to AI Productivity Tools
2. Lesson 9.2: Communication Tools
3. Lesson 9.3: Data Analysis Tools
4. Lesson 9.4: AI In Project Management
5. Lesson 9: Study Notes: Introduction to Business Applications
6. Lesson 9: Knowledge Quiz
7. Lesson 9: Practical Assignment

About this course

IIBA® Endorsed | 6 PD Hours
AI Essentials | Practical Assignments
Self Paced | Tutor Support

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AI Collaboration Framework Course

Course curriculum

Module 1: Unveiling AI – The Basics

Module 2: AI in the Real World – Industry Applications

Module 3: Behind the Scenes – AI Technologies & Languages

Module 4: The Human Side of AI – Ethics, Bias, and Governance

Module 5: Human Value in an AI-Driven World

Module 6: Future Skills – Thriving with AI

Module 7: AI Project Implementation – Challenges and Best Practices

Module 8: Leadership – Steering Through AI Change

Module 9: AI Productivity Tools

About this course

Discover your potential, starting today