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Simon Allardice
Artificial Intelligence (AI) is everywhere—but the fundamentals are often misunderstood. In this fast-paced introduction, quickly ramp up on the current state of AI, including Generative AI tools like ChatGPT.
Read more
Artificial Intelligence (AI) is everywhere—but the fundamentals are often misunderstood. In this fast-paced introduction, quickly ramp up on the current state of AI, including Generative AI tools like ChatGPT.
Read more
Artificial Intelligence (AI) is everywhere—but the fundamentals are often misunderstood. In this fast-paced introduction, quickly ramp up on the current state of AI, including Generative AI tools like ChatGPT.
In this fast-paced course, cover the most important concepts and ideas in Artificial Intelligence, including the latest Generative AI applications. We'll begin with the clichés—the things "everybody knows" about AI—and use them to explore several core concepts. You'll explore multiple different ways AI can be implemented, including Machine Learning, Deep Learning and Natural Language Processing (NLP). We'll dive into Generative AI applications like ChatGPT, Google Bard and Midjourney, talk about AI hallucinations, and explore prompts and prompt engineering. When you are finished with this course, you will have practical, pragmatic understanding of the current state of Artificial Intelligence as it is being used today.
Register for this course and see more details by visiting:
OpenCourser.com/course/w9iw7p/ai
What's inside
Syllabus
AI & Generative AI Explained
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Develops an understanding of the latest Generative AI applications, including ChatGPT, Midjourney, and Google Bard
Taught by Simon Allardice, a highly accomplished professional in the field
Explores the practical and pragmatic nature of current AI applications in industry
Caution: Does not teach technical implementation of AI, including coding and modeling
Caution: Does not provide hands-on development projects or practical exercises
Caution: Does not prepare learners for industry certifications, but rather provides conceptual understanding
Save this course
Save AI & Generative AI Explained to your list so you can find it easily later:
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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 & Generative AI Explained with these
activities:
Explore the foundations of AI with 'Artificial Intelligence: A Modern Approach'
Show steps
Strengthen your core AI knowledge by reviewing a foundational textbook.
View
Melania
on Amazon
Show steps
-
Read selected chapters and sections
-
Summarize key concepts and algorithms
Join a study group for collaborative learning
Show steps
Enhance your understanding and retention through collaborative learning and peer support.
Browse courses on
Collaborative Learning
Show steps
-
Find a group of interested peers
-
Set regular meeting times and agendas
-
Discuss course materials, solve problems, and share insights
Reinforce AI fundamentals with NPTEL courses
Show steps
Solidify your understanding of AI principles through guided tutorials to reinforce course concepts.
Browse courses on
Artificial Intelligence
Show steps
-
Identify relevant NPTEL courses
-
Review course materials and complete exercises
Four other activities
Expand to see all activities and additional details
Show all seven activities
Work through Generative AI code examples
Show steps
Strengthen your practical AI skills by working through code examples for Generative AI applications.
Browse courses on
Generative AI
Show steps
-
Explore open-source libraries and frameworks
-
Implement Generative AI algorithms
-
Experiment with different models and parameters
Participate in AI competitions
Show steps
Challenge yourself and test your AI skills by participating in competitions and hackathons.
Show steps
-
Find suitable competitions and challenges
-
Form a team or work individually
-
Develop and submit your AI solution
Develop an AI-powered chatbot
Show steps
Deepen your understanding of AI by creating a real-world application that leverages chatbot technology.
Browse courses on
Chatbot Development
Show steps
-
Define the chatbot's purpose and functionality
-
Design the chatbot's conversational flow
-
Develop the chatbot's AI engine
Design an AI solution to a real-world problem
Show steps
Apply your AI knowledge to a practical challenge by designing an AI solution to a real-world problem.
Browse courses on
AI Applications
Show steps
-
Identify a suitable problem domain
-
Research existing AI techniques and approaches
-
Design and implement an AI solution
Explore the foundations of AI with 'Artificial Intelligence: A Modern Approach'
Show steps
Strengthen your core AI knowledge by reviewing a foundational textbook.
View
Melania
on Amazon
Show steps
Show steps
Show steps
- Read selected chapters and sections
- Summarize key concepts and algorithms
Join a study group for collaborative learning
Show steps
Enhance your understanding and retention through collaborative learning and peer support.
Browse courses on
Collaborative Learning
Show steps
Show steps
Show steps
- Find a group of interested peers
- Set regular meeting times and agendas
- Discuss course materials, solve problems, and share insights
Reinforce AI fundamentals with NPTEL courses
Show steps
Solidify your understanding of AI principles through guided tutorials to reinforce course concepts.
Browse courses on
Artificial Intelligence
Show steps
Show steps
Show steps
- Identify relevant NPTEL courses
- Review course materials and complete exercises
Four other activities
Expand to see all activities and additional details
Show all seven activities
Work through Generative AI code examples
Show steps
Strengthen your practical AI skills by working through code examples for Generative AI applications.
Browse courses on
Generative AI
Show steps
Show steps
Show steps
- Explore open-source libraries and frameworks
- Implement Generative AI algorithms
- Experiment with different models and parameters
Participate in AI competitions
Show steps
Challenge yourself and test your AI skills by participating in competitions and hackathons.
Show steps
Show steps
Show steps
- Find suitable competitions and challenges
- Form a team or work individually
- Develop and submit your AI solution
Develop an AI-powered chatbot
Show steps
Deepen your understanding of AI by creating a real-world application that leverages chatbot technology.
Browse courses on
Chatbot Development
Show steps
Show steps
Show steps
- Define the chatbot's purpose and functionality
- Design the chatbot's conversational flow
- Develop the chatbot's AI engine
Design an AI solution to a real-world problem
Show steps
Apply your AI knowledge to a practical challenge by designing an AI solution to a real-world problem.
Browse courses on
AI Applications
Show steps
Show steps
Show steps
- Identify a suitable problem domain
- Research existing AI techniques and approaches
- Design and implement an AI solution
Career center
Learners who complete AI & Generative AI Explained will develop knowledge and skills
that may be useful to these careers:
Artificial Intelligence Engineer
Artificial Intelligence Engineer
Artificial Intelligence (AI) Engineers design, develop, and maintain AI systems. Their work is often focused on a particular subfield of AI, such as machine learning or natural language processing. This course provides a solid foundation in the fundamentals of AI, including the latest Generative AI applications. It can help AI Engineers stay up-to-date on the latest developments in the field and learn new skills that can be applied to their work.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design, develop, and maintain machine learning models. They use a variety of techniques to train and evaluate models, and they work closely with other engineers to integrate models into larger systems. This course provides a strong foundation in the fundamentals of machine learning, including the latest Generative AI applications. It can help Machine Learning Engineers stay up-to-date on the latest developments in the field and learn new skills that can be applied to their work.
Deep Learning Engineer
Deep Learning Engineer
Deep Learning Engineers design, develop, and maintain deep learning models. They use a variety of techniques to train and evaluate models, and they work closely with other engineers to integrate models into larger systems. This course provides a strong foundation in the fundamentals of deep learning, including the latest Generative AI applications. It can help Deep Learning Engineers stay up-to-date on the latest developments in the field and learn new skills that can be applied to their work.
Natural Language Processing Engineer
Natural Language Processing Engineer
Natural Language Processing Engineers design, develop, and maintain natural language processing models. They use a variety of techniques to train and evaluate models, and they work closely with other engineers to integrate models into larger systems. This course provides a strong foundation in the fundamentals of natural language processing, including the latest Generative AI applications. It can help Natural Language Processing Engineers stay up-to-date on the latest developments in the field and learn new skills that can be applied to their work.
Data Scientist
Data Scientist
Data Scientists use data to solve business problems. They use a variety of techniques to collect, clean, and analyze data, and they work closely with other professionals to develop solutions. This course provides a strong foundation in the fundamentals of data science, including the latest Generative AI applications. It can help Data Scientists stay up-to-date on the latest developments in the field and learn new skills that can be applied to their work.
AI Researcher
AI Researcher
AI Researchers conduct research on new AI algorithms and techniques. They work in a variety of settings, including academia, industry, and government. This course provides a strong foundation in the fundamentals of AI, including the latest Generative AI applications. It can help AI Researchers stay up-to-date on the latest developments in the field and learn new skills that can be applied to their work.
Computer Scientist
Computer Scientist
Computer Scientists conduct research on new computer science algorithms and techniques. They work in a variety of settings, including academia, industry, and government. This course provides a strong foundation in the fundamentals of computer science, including the latest Generative AI applications. It can help Computer Scientists stay up-to-date on the latest developments in the field and learn new skills that can be applied to their work.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software systems. They work in a variety of industries, including technology, finance, and healthcare. This course provides a strong foundation in the fundamentals of software engineering, including the latest Generative AI applications. It can help Software Engineers stay up-to-date on the latest developments in the field and learn new skills that can be applied to their work.
Actuary
Actuary
Actuaries use mathematics and statistics to assess risk and uncertainty. They work in a variety of industries, including insurance, finance, and healthcare. This course provides a strong foundation in the fundamentals of actuarial science, including the latest Generative AI applications. It can help Actuaries stay up-to-date on the latest developments in the field and learn new skills that can be applied to their work.
Product Manager
Product Manager
Product Managers develop and manage products. They work closely with engineers, designers, and marketers to bring new products to market. This course provides a strong foundation in the fundamentals of product management, including the latest Generative AI applications. It can help Product Managers stay up-to-date on the latest developments in the field and learn new skills that can be applied to their work.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use mathematics and statistics to solve financial problems. They work in a variety of settings, including investment banks, hedge funds, and insurance companies. This course provides a strong foundation in the fundamentals of quantitative analysis, including the latest Generative AI applications. It can help Quantitative Analysts stay up-to-date on the latest developments in the field and learn new skills that can be applied to their work.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use mathematics and statistics to solve problems in a variety of industries, including manufacturing, transportation, and logistics. This course provides a strong foundation in the fundamentals of operations research, including the latest Generative AI applications. It can help Operations Research Analysts stay up-to-date on the latest developments in the field and learn new skills that can be applied to their work.
Data Analyst
Data Analyst
Data Analysts collect, clean, and analyze data to help businesses make informed decisions. They work in a variety of industries, including finance, healthcare, and retail. This course provides a strong foundation in the fundamentals of data analytics, including the latest Generative AI applications. It can help Data Analysts stay up-to-date on the latest developments in the field and learn new skills that can be applied to their work.
Market Researcher
Market Researcher
Market Researchers collect and analyze data to help businesses understand their customers. They work in a variety of industries, including marketing, advertising, and product development. This course provides a strong foundation in the fundamentals of market research, including the latest Generative AI applications. It can help Market Researchers stay up-to-date on the latest developments in the field and learn new skills that can be applied to their work.
Business Analyst
Business Analyst
Business Analysts gather and analyze data to help businesses make informed decisions. They work in a variety of industries, including consulting, finance, and healthcare. This course provides a strong foundation in the fundamentals of business analysis, including the latest Generative AI applications. It can help Business Analysts stay up-to-date on the latest developments in the field and learn new skills that can be applied to their work.
For more career information including salaries, visit:
OpenCourser.com/course/w9iw7p/ai
Reading list
We've selected ten 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 & Generative AI Explained.
Provides a comprehensive overview of the ethical issues raised by AI, with a focus on the potential for AI to impact human society. It valuable resource for anyone interested in understanding the ethical implications of AI.
Save
Comprehensive introduction to deep learning, covering the fundamental concepts and algorithms of the field. It valuable resource for anyone interested in learning more about deep learning.
Save
Provides a comprehensive overview of the potential risks of AI, with a focus on the potential for AI to become superintelligent. It valuable resource for anyone interested in understanding the existential risks posed by AI.
Provides a comprehensive overview of the potential economic and social implications of AI. It valuable resource for anyone interested in understanding the impact of AI on the future of work and society.
Provides a thought-provoking exploration of the potential impact of AI on human society. It valuable resource for anyone interested in understanding the social and cultural implications of AI.
Save
Provides a comprehensive overview of the potential future of AI, with a focus on the potential for AI to transform human society. It valuable resource for anyone interested in understanding the long-term implications of AI.
Provides a thought-provoking exploration of the challenges of aligning AI with human values. It valuable resource for anyone interested in understanding the ethical and philosophical implications of AI.
Save
Provides a comprehensive overview of the potential future of AI, with a focus on the potential for AI to transform human society. It valuable resource for anyone interested in understanding the long-term implications of AI.
Save
Provides a comprehensive overview of the potential future of AI, with a focus on the potential for AI to transform human society. It valuable resource for anyone interested in understanding the long-term implications of AI.
Provides a practical introduction to natural language processing, with a focus on the Python programming language. It good choice for those interested in learning more about the technical aspects of AI.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/w9iw7p/ai
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Time
52 hours
Level
Introductory
Via
Pluralsight
Instructor
Simon Allardice
Language
English
Good to know
Develops an understanding of the latest Generative AI applications, including ChatGPT, Midjourney, and Google Bard
Taught by Simon Allardice, a highly accomplished professional in the field
Explores the practical and pragmatic nature of current AI applications in industry
Caution: Does not teach technical implementation of AI, including coding and modeling
Caution: Does not provide hands-on development projects or practical exercises
Caution: Does not prepare learners for industry certifications, but rather provides conceptual understanding
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