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Learn the essentials for AI discovery conversations.

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Syllabus

AI Essentials
Learn the essentials for AI discovery conversations

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Inculcates foundational understanding, suitable for learners with no prior knowledge in AI

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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 AI Essentials with these activities:
Review the Basics of AI
Reinforce your understanding of the fundamental concepts of AI to enhance your comprehension throughout the course.
Show steps
  • Review lecture notes or textbooks on AI principles.
  • Complete online tutorials or exercises on AI basics.
  • Attend a workshop or seminar on AI fundamentals.
Practice AI Discovery Conversations
Enhance your ability to initiate and navigate AI discovery conversations through structured practice.
Show steps
  • Engage in mock AI discovery conversations with classmates or colleagues.
  • Use online simulators or chatbots to practice AI discovery techniques.
  • Record and analyze your conversations to identify areas for improvement.
Show all two activities

Career center

Learners who complete AI Essentials will develop knowledge and skills that may be useful to these careers:
AI Engineer
AI Engineers are responsible for designing, developing, and deploying AI systems. They use their knowledge of AI to create systems that can solve complex problems and automate tasks. The AI Essentials course can provide a foundation for individuals interested in becoming AI Engineers by introducing the principles of AI and how it can be used to build intelligent systems.
Machine Learning Engineer
Machine Learning Engineers are responsible for building and deploying machine learning models. They use their knowledge of AI to develop algorithms that can learn from data and make predictions. The AI Essentials course can provide a foundation for individuals interested in becoming Machine Learning Engineers by introducing the concepts of machine learning and how it can be applied to real-world problems.
Data Scientist
A Data Scientist is a professional who uses data to solve business problems and extract insights from data. They use their knowledge of AI to build models that can predict future outcomes and identify trends. The AI Essentials course can provide a foundation for individuals interested in becoming Data Scientists by introducing the fundamentals of AI and how it can be used to analyze data.
Software Engineer
Software Engineers are responsible for designing, developing, and testing software applications. They use their knowledge of computer science to create software that meets the needs of users. The AI Essentials course may be helpful for individuals interested in becoming Software Engineers by providing an introduction to the concepts of AI and how it can be used to build software applications.
Data Analyst
Data Analysts are responsible for collecting, cleaning, and analyzing data. They use their knowledge of statistics and data analysis to identify trends and patterns in data. The AI Essentials course may be helpful for individuals interested in becoming Data Analysts by providing an introduction to the concepts of AI and how it can be used to analyze data.
Business Analyst
Business Analysts are responsible for understanding the business needs of an organization and translating those needs into technical requirements. They use their knowledge of business and technology to help organizations improve their operations and make better decisions. The AI Essentials course may be helpful for individuals interested in becoming Business Analysts by providing an introduction to the concepts of AI and how it can be used to improve business processes.
Project Manager
Project Managers are responsible for planning, executing, and closing projects. They use their knowledge of project management to ensure that projects are completed on time, within budget, and to the required质量标准. The AI Essentials course may be helpful for individuals interested in becoming Project Managers by providing an introduction to the concepts of AI and how it can be used to improve project management processes.
Product Manager
Product Managers are responsible for managing the development and launch of new products. They use their knowledge of product management to define the product vision, roadmap, and launch strategy. The AI Essentials course may be helpful for individuals interested in becoming Product Managers by providing an introduction to the concepts of AI and how it can be used to improve product development processes.
Marketing Manager
Marketing Managers are responsible for planning and executing marketing campaigns. They use their knowledge of marketing to reach target audiences and generate leads. The AI Essentials course may be helpful for individuals interested in becoming Marketing Managers by providing an introduction to the concepts of AI and how it can be used to improve marketing campaigns.
Sales Manager
Sales Managers are responsible for leading sales teams and achieving sales goals. They use their knowledge of sales to identify and close deals. The AI Essentials course may be helpful for individuals interested in becoming Sales Managers by providing an introduction to the concepts of AI and how it can be used to improve sales processes.
Customer Success Manager
Customer Success Managers are responsible for ensuring that customers are satisfied with a company's products or services. They use their knowledge of customer service to resolve issues and build relationships with customers. The AI Essentials course may be helpful for individuals interested in becoming Customer Success Managers by providing an introduction to the concepts of AI and how it can be used to improve customer service processes.
Operations Manager
Operations Managers are responsible for planning and executing the day-to-day operations of an organization. They use their knowledge of operations management to ensure that the organization runs smoothly and efficiently. The AI Essentials course may be helpful for individuals interested in becoming Operations Managers by providing an introduction to the concepts of AI and how it can be used to improve operations processes.
Financial Analyst
Financial Analysts are responsible for analyzing financial data and making investment recommendations. They use their knowledge of finance to identify investment opportunities and assess the risk of investments. The AI Essentials course may be helpful for individuals interested in becoming Financial Analysts by providing an introduction to the concepts of AI and how it can be used to analyze financial data.
Consultant
Consultants are responsible for providing advice and guidance to organizations on a variety of topics. They use their knowledge of a particular field to help organizations improve their performance. The AI Essentials course may be helpful for individuals interested in becoming Consultants by providing an introduction to the concepts of AI and how it can be used to improve business processes.
Teacher
Teachers are responsible for educating students in a variety of subjects. They use their knowledge of education to create lesson plans and teach students the skills they need to succeed. The AI Essentials course may be helpful for individuals interested in becoming Teachers by providing an introduction to the concepts of AI and how it can be used to improve teaching methods.

Reading list

We've selected 12 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 AI Essentials .
A classic text on reinforcement learning, a type of AI where an agent learns by interacting with its environment.
If you want to gain a conceptual understanding of deep learning, this book uses approachable language and illustrations.
If you want to get a deeper understanding of the probabilistic foundations of AI, this book valuable resource.
Offering a solid mathematical foundation for machine learning, this book is helpful as a reference.

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