Formats⟩Live Virtual: 4 hrs./1 Day |In-Person: 6 hrs./1 Day
Artificial Intelligence (AI) is a machine’s ability to perform cognitive functions, such as perception, learning, reasoning, and problem-solving. This AI basics course provides an overview of AI concepts and workflows, as well as the fundamentals of machine learning and deep learning. You will learn fundamental techniques for building AI projects and how AI empowers businesses and society.
Learning Objectives »
Define common AI terminology.
Understand the capabilities of AI and machine learning.
Learn the basics of building AI projects.
Explore technical tools for AI teams.
Apply AI to your organization.
Discuss common AI problems and how to avoid them.
Navigate ethical and societal discussions surrounding AI.
Course Agenda
Understanding AI
Basic Definitions
Understanding Data
Machine Learning
Safe Data Use With AI
How Does AI Work?
Machine Learning Capabilities
Deep Learning
Putting AI Capabilities to Best Use
Successful Prompting
Building AI Projects
Workflow of a Machine Learning Project
How to Choose an AI Project
AI Transformation Playbook
What AI Projects Can You Benefit From?
Technical Tools for AI Teams
Common AI Project Team Members
Workflow of a Data Science Project
Roles and Skills for Your Project
Using Data for Job Functions
AI & Your Organization
Stages of Enterprise AI Maturity
AI in Practice
AI for Data Digestion
Identifying Technology to Integrate
AI Pitfalls to Avoid
Barriers to Implementation
AI & Society
AI Challenges
Societal Impacts of AI
AI Realistic View of AI
Revisit your Prompts
Adverse Uses of AI
Discrimination and Unconscious Bias
Adversarial Attacks on AI
Mitigating Adversarial Attacks
AI and Developing Economies
AI and Jobs
Artificial Intelligence Basics for Beginners
Formats⟩Live Virtual: 4 hrs./1 Day |In-Person: 6 hrs./1 Day
Artificial Intelligence (AI) is a machine’s ability to perform cognitive functions, such as perception, learning, reasoning, and problem-solving. This AI basics course provides an overview of AI concepts and workflows, as well as the fundamentals of machine learning and deep learning. You will learn fundamental techniques for building AI projects and how AI empowers businesses and society.
Learning Objectives »
Define common AI terminology.
Understand the capabilities of AI and machine learning.
Learn the basics of building AI projects.
Explore technical tools for AI teams.
Apply AI to your organization.
Discuss common AI problems and how to avoid them.
Navigate ethical and societal discussions surrounding AI.
Course Agenda
Understanding AI
Basic Definitions
Understanding Data
Machine Learning
Safe Data Use With AI
How Does AI Work?
Machine Learning Capabilities
Deep Learning
Putting AI Capabilities to Best Use
Successful Prompting
Building AI Projects
Workflow of a Machine Learning Project
How to Choose an AI Project
AI Transformation Playbook
What AI Projects Can You Benefit From?
Technical Tools for AI Teams
Common AI Project Team Members
Workflow of a Data Science Project
Roles and Skills for Your Project
Using Data for Job Functions
AI & Your Organization
Stages of Enterprise AI Maturity
AI in Practice
AI for Data Digestion
Identifying Technology to Integrate
AI Pitfalls to Avoid
Barriers to Implementation
AI & Society
AI Challenges
Societal Impacts of AI
AI Realistic View of AI
Revisit your Prompts
Adverse Uses of AI
Discrimination and Unconscious Bias
Adversarial Attacks on AI
Mitigating Adversarial Attacks
AI and Developing Economies
AI and Jobs
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