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Board Infinity
Course Overview:
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Course Overview:
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Course Overview:
This course offers a comprehensive exploration of the evolution of Generative AI, from its inception to its current state-of-the-art developments. Over seven video lectures, students will gain insights into key milestones, technologies, and the transformative impact of AI on various sectors.
Course Objectives:
-Understand the historical context and development of AI.
-Learn about pivotal AI technologies and models, including neural networks, GANs, Transformer
architectures, and more.
-Explore the applications and implications of AI in various fields.
-Speculate on the future trajectory and potential of AI.
Target Audience:
This course is designed for professionals, students, and enthusiasts interested in understanding the role and impact of AI in shaping our future.
Assessment and Evaluation:
Participants will be assessed through quizzes, participation in forum discussions, and a final project focusing on the application or analysis of a generative AI concept.
Register for this course and see more details by visiting:
OpenCourser.com/course/fnn0hm/the
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What's inside
Syllabus
The Rise of Generative AI: A Journey Through History and Relevance
Welcome to our first and only module, "The Rise of Generative AI: A Journey Through History and Relevance." This module offers a comprehensive exploration of artificial intelligence's evolution, from its inception in the 1950s to the latest advancements in 2023. Delve into key milestones like neural networks, chatbots, and transformative technologies such as GANs, Transformers, and GPT-4. Uncover the impact of AI on various sectors and envision its future trajectory.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Develops transferable skills required to adapt to the rapidly evolving field of artificial intelligence
Notably taught by Board Infinity instructors
Examines a broad spectrum of AI technologies and models
Provides insights into the transformative impact of AI across various sectors
Endeavors to help students speculate on the future possibilities of AI technology
Provides ample opportunities for direct engagement and practical application
Save this course
Save The Rise of Generative AI 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 The Rise of Generative AI with these
activities:
Review: Artificial Intelligence: A Modern Approach
Show steps
Lay the foundations for rigorous understanding of AI's core ideas for the rest of the course
View
Melania
on Amazon
Show steps
-
Read Chapter 1 thoroughly
-
Review AI Glossary and key terms from Chapter 1
-
Create AI concept flashcards
Review and Organize Course Materials
Show steps
Enhance your understanding by organizing your notes and study materials regularly.
Show steps
-
Review and organize notes after each lecture
-
Create a central repository for all course materials
-
Review organized materials regularly
Follow Tutorials on Transformer AI Models
Show steps
Expand your knowledge of AI models by following informative tutorials.
Show steps
-
Find reputable tutorials on Transformer AI models
-
Follow the tutorials step-by-step and take notes
-
Replicate the examples in the tutorial and experiment with different settings
Four other activities
Expand to see all activities and additional details
Show all seven activities
Practice with Generative AI Tools
Show steps
Enhance your hands-on skills with generative AI tools.
Browse courses on
Generative AI Tools
Show steps
-
Experiment with different tools and techniques
-
Create and refine multiple projects
Develop a Generative AI Research Proposal
Show steps
Demonstrate your understanding of generative AI by outlining a research proposal.
Browse courses on
Research Proposal
Show steps
-
Identify a research question or problem
-
Review existing literature and identify gaps
-
Develop a research hypothesis and methodology
-
Draft and refine your research proposal
Build a Generative Art App
Show steps
Solidify your understanding of generative AI's creative capabilities by building your own generative art app.
Browse courses on
Generative Art
Show steps
-
Choose a generative art technique
-
Set up a project environment
-
Develop algorithms and code
-
Create an interface
-
Test and iterate
Write a Blog Post on AI's Future
Show steps
Speculate on the future of generative AI and share your insights with the community.
Browse courses on
Generative AI
Show steps
-
Identify key trends, applications, and challenges
-
Write an outline of your blog post
-
Draft and refine your blog post
-
Publish and promote your blog post
Review: Artificial Intelligence: A Modern Approach
Show steps
Lay the foundations for rigorous understanding of AI's core ideas for the rest of the course
View
Melania
on Amazon
Show steps
Show steps
Show steps
- Read Chapter 1 thoroughly
- Review AI Glossary and key terms from Chapter 1
- Create AI concept flashcards
Review and Organize Course Materials
Show steps
Enhance your understanding by organizing your notes and study materials regularly.
Show steps
Show steps
Show steps
- Review and organize notes after each lecture
- Create a central repository for all course materials
- Review organized materials regularly
Follow Tutorials on Transformer AI Models
Show steps
Expand your knowledge of AI models by following informative tutorials.
Show steps
Show steps
Show steps
- Find reputable tutorials on Transformer AI models
- Follow the tutorials step-by-step and take notes
- Replicate the examples in the tutorial and experiment with different settings
Four other activities
Expand to see all activities and additional details
Show all seven activities
Practice with Generative AI Tools
Show steps
Enhance your hands-on skills with generative AI tools.
Browse courses on
Generative AI Tools
Show steps
Show steps
Show steps
- Experiment with different tools and techniques
- Create and refine multiple projects
Develop a Generative AI Research Proposal
Show steps
Demonstrate your understanding of generative AI by outlining a research proposal.
Browse courses on
Research Proposal
Show steps
Show steps
Show steps
- Identify a research question or problem
- Review existing literature and identify gaps
- Develop a research hypothesis and methodology
- Draft and refine your research proposal
Build a Generative Art App
Show steps
Solidify your understanding of generative AI's creative capabilities by building your own generative art app.
Browse courses on
Generative Art
Show steps
Show steps
Show steps
- Choose a generative art technique
- Set up a project environment
- Develop algorithms and code
- Create an interface
- Test and iterate
Write a Blog Post on AI's Future
Show steps
Speculate on the future of generative AI and share your insights with the community.
Browse courses on
Generative AI
Show steps
Show steps
Show steps
- Identify key trends, applications, and challenges
- Write an outline of your blog post
- Draft and refine your blog post
- Publish and promote your blog post
Career center
Learners who complete The Rise of Generative AI will develop knowledge and skills
that may be useful to these careers:
Artificial Intelligence Engineer
Artificial Intelligence Engineer
An Artificial Intelligence Engineer builds and maintains AI systems. This requires an up-to-date knowledge of the latest developments in AI technology, including the kinds of models and architectures covered in this course. Completing this course will help to build a foundation in the key concepts of AI, which will support advanced study and entry into the field as an AI Engineer.
Machine Learning Engineer
Machine Learning Engineer
A Machine Learning Engineer builds and maintains machine learning models. The techniques needed for this role are founded heavily in the models and architectures covered in this course. The course will be helpful in developing the skills and knowledge needed to succeed in this role.
Data Scientist
Data Scientist
A Data Scientist uses data to make predictions. AI models are increasingly used to make predictions in an automated fashion, and so an understanding of AI models is valuable for a Data Scientist. This course can help to provide the necessary understanding.
Data Analyst
Data Analyst
A Data Analyst analyzes data to identify trends and patterns. AI models can help in this analysis, so an understanding of AI models is valuable for a Data Analyst. This course can provide the necessary understanding to succeed in this role.
Software Engineer
Software Engineer
A Software Engineer builds software applications. Increasingly, AI models are being integrated into software applications, so an understanding of AI is valuable for a Software Engineer. This course may help to provide the necessary understanding.
Quantitative Analyst
Quantitative Analyst
A Quantitative Analyst uses mathematical and statistical techniques to analyze financial data. AI models are increasingly used in this analysis, so an understanding of AI models and techniques is valuable for a Quantitative Analyst. Completing this course may help to develop the necessary understanding.
Risk Manager
Risk Manager
A Risk Manager assesses and manages risks to an organization. AI models can be used to assess and mitigate risks, so an understanding of AI models and techniques is valuable for a Risk Manager. Completing this course could help to develop the necessary foundational understanding.
Sales Manager
Sales Manager
A Sales Manager plans and executes sales campaigns. AI models can be used to automate and improve sales campaigns, so an understanding of AI models and techniques is valuable for a Sales Manager. The course may be helpful in providing the necessary foundational understanding.
Product Manager
Product Manager
A Product Manager plans, builds, and manages software products. As AI models are increasingly integrated into software products, an understanding of AI may be valuable for a Product Manager. The course may be helpful in providing the necessary understanding.
IT Manager
IT Manager
An IT Manager plans, implements, and manages IT systems. AI models are increasingly being used in IT systems, so an understanding of AI is valuable for an IT Manager. This course may help to provide the necessary understanding.
Research Scientist
Research Scientist
A Research Scientist investigates new and emerging technologies. AI is certainly an emerging technology, so an understanding of the latest developments in AI, as covered in this course, may be valuable for a Research Scientist.
Marketing Manager
Marketing Manager
A Marketing Manager plans and executes marketing campaigns. AI models can be used to automate and improve marketing campaigns, so an understanding of AI models and techniques is valuable for a Marketing Manager.
Financial Analyst
Financial Analyst
A Financial Analyst analyzes financial data to make investment recommendations. AI models are increasingly used in this analysis, so an understanding of AI models and techniques is valuable for a Financial Analyst.
Business Analyst
Business Analyst
A Business Analyst analyzes business processes to identify opportunities for improvement. AI models can be used to automate and improve business processes, so an understanding of AI models and techniques is valuable for a Business Analyst.
Human Resources Manager
Human Resources Manager
A Human Resources Manager plans and implements HR policies and procedures. AI models can be used to automate and improve HR processes, so an understanding of AI models and techniques is valuable for a Human Resources Manager. Completing this course may be helpful in developing this foundational understanding.
For more career information including salaries, visit:
OpenCourser.com/course/fnn0hm/the
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
The Rise of Generative AI.
This advanced textbook provides a comprehensive treatment of generative deep learning models and applications. It's a valuable resource for those interested in the technical details and research advancements in the field.
This thought-provoking book examines the ethical and societal implications of AI, including the potential risks and benefits of generative AI technologies.
Save
This foundational text on deep learning provides a comprehensive overview of the field, covering essential concepts and architectures. It serves as a valuable reference for understanding the underlying principles of generative AI.
This textbook provides a comprehensive overview of speech and language processing, covering topics relevant to generative AI, such as natural language generation and speech synthesis.
Save
This comprehensive textbook provides a foundation in computer vision concepts and algorithms. While it doesn't directly cover generative AI, it offers essential knowledge for understanding the computer vision techniques used in generative AI applications.
Save
This insightful book examines the history and evolution of AI, exploring the potential of generative AI to transform various industries and aspects of life.
Save
This practical book explores the potential business applications of AI, including generative AI. It provides insights into how to harness AI to gain a competitive advantage in various industries.
This concise and accessible book provides a quick introduction to machine learning concepts. It's a great starting point for those new to AI and machine learning before delving into generative AI.
Save
This thought-provoking book explores the potential impact of AI on humanity, society, and the future. It provides a philosophical and futurist perspective on the implications of generative AI technologies.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/fnn0hm/the
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Effort
1 week of study, 2 hours/week
Level
Introductory
Via
Coursera
Institution
Board Infinity
Instructor
Board Infinity
Language
English
Good to know
Develops transferable skills required to adapt to the rapidly evolving field of artificial intelligence
Notably taught by Board Infinity instructors
Examines a broad spectrum of AI technologies and models
Provides insights into the transformative impact of AI across various sectors
Endeavors to help students speculate on the future possibilities of AI technology
Provides ample opportunities for direct engagement and practical application
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