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Board Infinity

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.

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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

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

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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
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
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
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
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
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
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
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

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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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.

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 thought-provoking book examines the ethical and societal implications of AI, including the potential risks and benefits of generative AI technologies.
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.
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.
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.
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.

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