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Rav Ahuja
Please Note: Learners who successfully complete this IBM course can earn a skill badge — a detailed, verifiable and digital credential that profiles the knowledge and skills you’ve acquired in this course. Enroll to learn more, complete the course and claim your badge!
Read more
Please Note: Learners who successfully complete this IBM course can earn a skill badge — a detailed, verifiable and digital credential that profiles the knowledge and skills you’ve acquired in this course. Enroll to learn more, complete the course and claim your badge!
Read more
Please Note: Learners who successfully complete this IBM course can earn a skill badge — a detailed, verifiable and digital credential that profiles the knowledge and skills you’ve acquired in this course. Enroll to learn more, complete the course and claim your badge!
In this course, you will learn what AI is and understand its applications and use cases and how it is transforming our lives. You will explore basic AI concepts including machine learning, deep learning, and neural networks as well as use cases and applications of AI. You will be exposed to concerns surrounding AI, including ethics, bias, jobs and the impacts on society.
You will take a glimpse of the future with AI, get advice for starting an AI related career, and wrap up the course by demonstrating AI in action with a mini project.
This AI for Everyone course does not require any programming or computer science expertise and is designed to introduce the basics of AI to anyone whether you have a technical background or not.
Register for this course and see more details by visiting:
OpenCourser.com/course/hkxd5z/ai
What's inside
Learning objectives
- Understand what is ai, its applications and 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
- Understand what is ai, its applications and 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
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Provides an accessible introduction to AI, making it suitable for both technical and non-technical audiences
Covers a range of AI applications and use cases, providing learners with practical examples of how AI is impacting various industries
Lays a solid foundation in AI concepts such as machine learning, deep learning, and neural networks, enabling learners to understand the underlying principles of AI
Addresses concerns and ethical considerations surrounding AI, fostering critical thinking and responsible use of technology
Provides guidance on starting an AI-related career, equipping learners with insights into the industry landscape and job opportunities
Offers a hands-on mini project to demonstrate AI in action, allowing learners to apply their knowledge and skills practically
Save this course
Save AI for Everyone: Master the Basics to your list so you can find it easily later:
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Reviews summary
Impressive credentials
According to students, this course is an impressive way to build practical credibility in a field. This course led one learner to add five courses to their skillset, showcasing their commitment to staying up-to-date in their education. While a Masters Degree or PhD may not be necessary, this course is seen as a way to gain knowledge and skills that can be applied in professional settings.
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 for Everyone: Master the Basics with these
activities:
Review AI concepts and terminology
Show steps
Refresh your understanding of fundamental AI concepts and terminology before starting the course to ensure a smooth learning experience.
Browse courses on
AI Concepts
Show steps
-
Revisit introductory AI resources such as books, articles, or online courses.
-
Review AI concepts such as machine learning, deep learning, and neural networks.
-
Familiarize yourself with key AI terminology to enhance your understanding of the course materials.
Follow AI tutorials and workshops
Show steps
Expand your knowledge and skills in specific areas of AI by following guided tutorials and attending workshops.
Show steps
-
Identify reputable sources for AI tutorials and workshops.
-
Select tutorials or workshops that align with your interests and learning goals.
-
Follow the instructions carefully and complete all exercises.
-
Apply what you learn to your own projects or research.
Read `Artificial Intelligence: A Modern Approach`
Show steps
Familiarize yourself with fundamental concepts in AI, machine learning, and deep learning.
Show steps
-
Skim the table of contents to get an overview of the book's structure.
-
Read each chapter thoroughly, taking notes on key concepts.
-
Complete the exercises at the end of each chapter to test your understanding.
-
Discuss the book's ideas with classmates or colleagues.
Three other activities
Expand to see all activities and additional details
Show all six activities
Join AI study groups or communities
Show steps
Engage with fellow AI enthusiasts to exchange ideas, troubleshoot problems, and stay updated on the latest developments.
Show steps
-
Identify online or local AI study groups or communities.
-
Join the group and actively participate in discussions.
-
Share your knowledge and experiences with others.
-
Collaborate on projects or research initiatives.
Solve AI coding challenges
Show steps
Sharpen your AI programming skills by practicing coding challenges that test your understanding of AI algorithms and techniques.
Browse courses on
Coding
Show steps
-
Identify reputable online platforms or resources that offer AI coding challenges.
-
Select challenges that are appropriate for your skill level.
-
Solve the challenges and compare your solutions with others.
-
Review your solutions and identify areas for improvement.
Build a simple AI chatbot
Show steps
Develop a practical understanding of AI's capabilities by creating a simple chatbot that can interact with users.
Browse courses on
Chatbots
Show steps
-
Choose a chatbot building platform or framework.
-
Design the chatbot's conversation flow.
-
Train the chatbot using a training dataset or predefined rules.
-
Test the chatbot's performance and make adjustments as needed.
Review AI concepts and terminology
Show steps
Refresh your understanding of fundamental AI concepts and terminology before starting the course to ensure a smooth learning experience.
Browse courses on
AI Concepts
Show steps
Show steps
Show steps
- Revisit introductory AI resources such as books, articles, or online courses.
- Review AI concepts such as machine learning, deep learning, and neural networks.
- Familiarize yourself with key AI terminology to enhance your understanding of the course materials.
Follow AI tutorials and workshops
Show steps
Expand your knowledge and skills in specific areas of AI by following guided tutorials and attending workshops.
Show steps
Show steps
Show steps
- Identify reputable sources for AI tutorials and workshops.
- Select tutorials or workshops that align with your interests and learning goals.
- Follow the instructions carefully and complete all exercises.
- Apply what you learn to your own projects or research.
Read `Artificial Intelligence: A Modern Approach`
Show steps
Familiarize yourself with fundamental concepts in AI, machine learning, and deep learning.
Show steps
Show steps
Show steps
- Skim the table of contents to get an overview of the book's structure.
- Read each chapter thoroughly, taking notes on key concepts.
- Complete the exercises at the end of each chapter to test your understanding.
- Discuss the book's ideas with classmates or colleagues.
Three other activities
Expand to see all activities and additional details
Show all six activities
Join AI study groups or communities
Show steps
Engage with fellow AI enthusiasts to exchange ideas, troubleshoot problems, and stay updated on the latest developments.
Show steps
Show steps
Show steps
- Identify online or local AI study groups or communities.
- Join the group and actively participate in discussions.
- Share your knowledge and experiences with others.
- Collaborate on projects or research initiatives.
Solve AI coding challenges
Show steps
Sharpen your AI programming skills by practicing coding challenges that test your understanding of AI algorithms and techniques.
Browse courses on
Coding
Show steps
Show steps
Show steps
- Identify reputable online platforms or resources that offer AI coding challenges.
- Select challenges that are appropriate for your skill level.
- Solve the challenges and compare your solutions with others.
- Review your solutions and identify areas for improvement.
Build a simple AI chatbot
Show steps
Develop a practical understanding of AI's capabilities by creating a simple chatbot that can interact with users.
Browse courses on
Chatbots
Show steps
Show steps
Show steps
- Choose a chatbot building platform or framework.
- Design the chatbot's conversation flow.
- Train the chatbot using a training dataset or predefined rules.
- Test the chatbot's performance and make adjustments as needed.
Career center
Learners who complete AI for Everyone: Master the Basics will develop knowledge and skills
that may be useful to these careers:
AI Engineer
AI Engineer
AI Engineers create and implement AI systems across various industries. This course provides a structured introduction to the fundamentals of AI, including machine learning, deep learning, and neural networks. By gaining a solid foundation in AI principles and use cases, individuals can enhance their technical skills and prepare for a career in AI engineering.
AI Consultant
AI Consultant
AI Consultants advise organizations on the implementation and adoption of AI solutions. This course offers a comprehensive overview of AI concepts, applications, and ethical concerns, equipping individuals with the knowledge and insights needed to guide businesses in their AI journey. By understanding the transformative potential of AI and its implications, AI Consultants can effectively assist organizations in harnessing AI for competitive advantage.
Data Scientist
Data Scientist
Data Scientists leverage AI techniques to extract valuable insights from data. This course provides a foundation in AI principles and their applications in data science. By exploring machine learning, deep learning, and neural networks, individuals can develop the skills to analyze large datasets, build predictive models, and contribute to data-driven decision-making.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design, develop, and maintain machine learning systems. This course introduces the core concepts of machine learning, including supervised and unsupervised learning, model training, and evaluation. By understanding the fundamentals of machine learning, individuals can build a strong foundation for a career in this specialized field.
AI Architect
AI Architect
AI Architects design and oversee the implementation of AI solutions. This course provides a comprehensive understanding of AI principles, applications, and ethical considerations. By gaining a solid foundation in AI, AI Architects can effectively plan, design, and manage complex AI projects, ensuring alignment with business objectives and ethical standards.
AI Researcher
AI Researcher
AI Researchers push the boundaries of AI technology and develop new applications. This course provides a foundational understanding of AI principles, including machine learning, deep learning, and neural networks. By exploring the latest advancements in AI, individuals can stay abreast of emerging trends and contribute to the advancement of AI research.
Robotics Engineer
Robotics Engineer
Robotics Engineers design, build, and operate robots. This course provides a foundational understanding of AI principles, including machine learning and deep learning. By exploring the intersection of AI and robotics, individuals can develop the skills to create intelligent robots that can perform complex tasks and operate autonomously.
AI Product Manager
AI Product Manager
AI Product Managers lead the development and launch of AI products. This course provides a comprehensive overview of AI principles, applications, and ethical considerations. By understanding the business value and technical aspects of AI, AI Product Managers can effectively define product roadmaps, manage development teams, and ensure successful product launches.
AI Policy Advisor
AI Policy Advisor
AI Policy Advisors analyze and develop policies related to AI technology. This course provides a deep understanding of AI principles, applications, and ethical concerns. By exploring the societal and regulatory implications of AI, individuals can effectively contribute to policy-making processes and guide the responsible development and adoption of AI.
AI Strategist
AI Strategist
AI Strategists develop and execute AI strategies within organizations. This course provides a comprehensive understanding of AI principles, applications, and business implications. By gaining a strategic perspective on AI, individuals can effectively guide organizations in leveraging AI for competitive advantage and long-term growth.
AI Business Analyst
AI Business Analyst
AI Business Analysts identify and analyze business opportunities for AI applications. This course provides a foundational understanding of AI principles, including machine learning and deep learning. By combining business acumen with AI knowledge, individuals can effectively assess market needs, develop AI solutions, and drive innovation.
AI Sales Engineer
AI Sales Engineer
AI Sales Engineers sell and implement AI solutions to businesses. This course provides a comprehensive overview of AI principles, applications, and business value. By understanding the technical capabilities and benefits of AI, individuals can effectively communicate its value and support customers in implementing successful AI solutions.
AI Journalist
AI Journalist
AI Journalists report on and analyze the latest advancements in AI technology and its impact on society. This course provides a foundational understanding of AI principles, applications, and ethical considerations. By exploring the intersection of AI and journalism, individuals can effectively communicate complex AI concepts to a wider audience and inform public discourse.
AI Educator
AI Educator
AI Educators teach and train students in the field of AI. This course provides a comprehensive overview of AI principles, applications, and educational approaches. By understanding the fundamentals of AI and effective teaching methods, individuals can effectively prepare students for careers in AI and contribute to the advancement of AI education.
AI Lawyer
AI Lawyer
AI Lawyers specialize in the legal implications of AI technology. This course provides a foundational understanding of AI principles, applications, and ethical concerns. By exploring the intersection of AI and law, individuals can effectively navigate complex legal issues, advise clients on AI-related matters, and contribute to the development of AI governance frameworks.
For more career information including salaries, visit:
OpenCourser.com/course/hkxd5z/ai
Reading list
We've selected 11 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 for Everyone: Master the Basics.
Provides a comprehensive overview of the mathematical and statistical foundations of machine learning. It valuable resource for anyone who wants to gain a deeper understanding of the theoretical underpinnings of AI.
Provides a probabilistic perspective on machine learning. It valuable resource for anyone who wants to gain a deeper understanding of the theoretical underpinnings of AI.
Save
If you're interested in learning about the theoretical underpinnings of deep learning, this must-read book. It provides a thorough introduction to deep learning algorithms and techniques.
Comprehensive resource for statistical learning methods. It provides a solid foundation for understanding the mathematical and statistical principles underlying AI algorithms.
Provides a comprehensive overview of pattern recognition and machine learning. It covers a wide range of topics, making it a valuable resource for anyone who wants to gain a deeper understanding of the field.
Provides a comprehensive overview of reinforcement learning. It valuable resource for anyone who wants to gain a deeper understanding of the field.
Save
Provides a comprehensive overview of computer vision algorithms and applications. It covers a wide range of topics, making it a valuable resource for anyone who wants to gain a deeper understanding of the field.
Provides readers with hands-on experience using popular machine learning libraries such as Scikit-Learn, Keras, and TensorFlow. It's a valuable resource for practicing with the most current tools and technologies.
Provides a non-technical overview of AI and its implications for society. It valuable resource for anyone who wants to gain a better understanding of the ethical and social issues surrounding AI.
Great starting point for beginners who want to learn about AI without getting too technical. It provides an accessible overview of the field and its applications.
Save
Explores the potential impact of AI on humanity. It valuable resource for anyone who wants to gain a better understanding of the future of AI and its implications for society.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/hkxd5z/ai
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Effort
1 to 2 hours per week for 4 weeks
Level
Introductory
Via
edX
Institution
IBM
Instructor
Rav Ahuja
Session
April 22, 2024
- January 31, 2025
Language
English
Transcripts
English
Español
Français
Português
Deutsch
中文
العربية
हिंदी
Türkçe
తెలుగు
Bahasa Indonesia
Kiswahili
Good to know
Provides an accessible introduction to AI, making it suitable for both technical and non-technical audiences
Covers a range of AI applications and use cases, providing learners with practical examples of how AI is impacting various industries
Lays a solid foundation in AI concepts such as machine learning, deep learning, and neural networks, enabling learners to understand the underlying principles of AI
Addresses concerns and ethical considerations surrounding AI, fostering critical thinking and responsible use of technology
Provides guidance on starting an AI-related career, equipping learners with insights into the industry landscape and job opportunities
Offers a hands-on mini project to demonstrate AI in action, allowing learners to apply their knowledge and skills practically
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