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Michael A M Davies

While other programmes are organised around AI technologies, this programme is focused on creating value in your business. Throughout the two phases of this programme, you'll gain a solid understanding of the characteristics of the technology and then work to gain clarity regarding your business challenge and your data source, so you can select the appropriate AI technologies to connect the two.

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What's inside

Syllabus

Module 1: The business value of AI and ML
Module 2: What are AI and ML
Module 3: The possibilities of AI
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Module 4: Leveraging AI to create value
Module 5: Building AI capacity

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Appropriate for learners who want to understand how to use AI technologies to create a value in their business
Facilitates bridging the gap between the characteristics of AI technology and the business challenge and data source
Clarifies how AI can be leveraged to generate value within a business
Builds AI competency within the learners
Requires learners to come in with a solid understanding of the characteristics of AI technology

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in New Ways of Working in an AI World with these activities:
Review basic statistics and probability concepts
Ensure you have a solid foundation in these concepts.
Browse courses on Statistics
Show steps
  • Review notes or textbooks.
  • Solve practice problems.
Read 'Artificial Intelligence: A Modern Approach'
Gain a comprehensive overview of AI and ML concepts and techniques.
View Melania on Amazon
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  • Read assigned chapters.
  • Summarize key concepts.
  • Complete end-of-chapter exercises.
Complete exercises from the textbook
Reinforce your understanding of course concepts through repetitive exercises.
Show steps
  • Identify relevant exercises in the textbook.
  • Solve exercises independently.
  • Check your answers and identify areas for improvement.
Two other activities
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Show all five activities
Develop a presentation on a specific AI application
Enhance your understanding of AI applications and their impact on businesses.
Browse courses on AI Applications
Show steps
  • Choose an AI application to research.
  • Gather information on its functionality and business impact.
  • Create slides and prepare a demo (optional).
Build a prototype AI solution for a business problem
Apply your knowledge to create a practical AI solution that addresses real-world problems.
Browse courses on AI Development
Show steps
  • Identify a business problem.
  • Design and develop an AI solution.
  • Test and evaluate the prototype.
  • Document the project.

Career center

Learners who complete New Ways of Working in an AI World will develop knowledge and skills that may be useful to these careers:
Artificial Intelligence Architect
An Artificial Intelligence Architect designs and develops AI systems and solutions. This course helps build a foundation in the business value of AI and ML, as well as the possibilities and applications of AI, which may be useful for success in the role.
Data Scientist
A Data Scientist uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from data in various forms, both structured and unstructured. This course may be useful as it provides a foundation in the business value of AI and ML, as well as the possibilities and applications of AI.
Machine Learning Engineer
A Machine Learning Engineer designs, develops, and maintains machine learning models and systems. This course helps build a foundation in the business value of AI and ML, as well as the possibilities and applications of AI, which may be useful for success in the role.
Business Analyst
A Business Analyst analyzes business processes and systems to improve efficiency and effectiveness. This course provides a foundation in the business value of AI and ML, which may be useful in understanding the potential of AI to improve business outcomes.
Data Analyst
A Data Analyst collects, analyzes, and interprets data to identify trends and patterns. This course helps build a foundation in the business value of AI and ML, as well as the possibilities and applications of AI, which may be useful for success in the role.
Product Manager
A Product Manager manages the development and launch of new products and services. This course helps build a foundation in the business value of AI and ML, as well as the possibilities and applications of AI, which may be useful for success in the role.
Software Engineer
A Software Engineer designs, develops, and maintains software systems. This course helps build a foundation in the business value of AI and ML, as well as the possibilities and applications of AI, which may be useful for success in the role.
Marketing Manager
A Marketing Manager develops and executes marketing campaigns to promote products and services. This course helps build a foundation in the business value of AI and ML, as well as the possibilities and applications of AI, which may be useful for success in the role.
Project Manager
A Project Manager plans, executes, and closes projects. This course provides a foundation in the business value of AI and ML, which may be useful in understanding the potential of AI to improve project outcomes.
Sales Manager
A Sales Manager leads and manages a team of sales professionals to achieve sales goals. This course provides a foundation in the business value of AI and ML, which may be useful in understanding the potential of AI to improve sales performance.
Consultant
A Consultant provides advice and guidance to organizations on a variety of topics. This course provides a foundation in the business value of AI and ML, which may be useful in understanding the potential of AI to improve organizational performance.
Operations Manager
An Operations Manager plans, organizes, and manages the daily operations of an organization. This course provides a foundation in the business value of AI and ML, which may be useful in understanding the potential of AI to improve operational efficiency.
Human Resources Manager
A Human Resources Manager plans and executes HR programs and initiatives. This course provides a foundation in the business value of AI and ML, which may be useful in understanding the potential of AI to improve HR outcomes.
Supply Chain Manager
A Supply Chain Manager plans, organizes, and manages the flow of goods and services. This course provides a foundation in the business value of AI and ML, which may be useful in understanding the potential of AI to improve supply chain performance.
Financial Analyst
A Financial Analyst analyzes financial data to make investment recommendations. This course provides a foundation in the business value of AI and ML, which may be useful in understanding the potential of AI to improve investment performance.

Reading list

We've selected nine books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in New Ways of Working in an AI World.
A foundational work on RL, this book provides a comprehensive overview of the algorithms and techniques used in RL systems, making it a valuable reference for advanced learners.
A foundational work in the field of DL, this book covers the architectures, algorithms, and applications of DL models, providing a valuable reference for advanced learners.
A hands-on guide to implementing DL models using Python, this book provides practical insights into the coding and implementation aspects of AI systems.
A practical guide to leveraging AI for business advantage, this book offers insights into how organizations can adopt and implement AI technologies effectively.
An exploration of the ethical and societal implications of AI, this book examines the challenges and opportunities of developing AI systems that are aligned with human values.
An examination of the challenges of aligning AI systems with human values, this book offers insights into the philosophical and technical complexities of developing AI systems that are ethically and socially responsible.
A comprehensive examination of the ethical considerations surrounding AI development and deployment, this book offers a valuable resource for understanding the ethical implications of AI systems.

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