AI Concepts and Strategy from Coursera

Artificial intelligence (AI) is rapidly evolving as a multidimensional paradigm, with critical implications for individuals, communities, organizations, businesses, national and regional economies and human society at large. This unique course will help you understand AI on three dimensions: Practice, Principles & Strategy. The course is introductory in nature but will provide a reasonably rigorous learning experience towards gaining a state of the art applied and philosophical overview of AI. Course Objectives are to:

1. Impart a simplified philosophical understanding of the nature and capabilities of Artificial Intelligence

2. Improve understanding of AI-concepts, AI-ideas and AI-strategy

3. Provide a foundational explanation of AI Ethics and Risks

4. Encourage development of strategic thinking on AI, and a future with AI.

Note this course is a subset of MPI program at Bloustein: https://bloustein.rutgers.edu/graduate/public-informatics/mpi/

https://twitter.com/jimsamuel - Students are encouraged to follow the instructor on Twitter / X for latest updates on AI events and news.

What's inside

Syllabus

AI: Introduction

Introduction to AI Concepts – What every thought leader needs to know!

AI Capabilities –Principles for Innovation (Wk2)

Principles of AI Risks – Imminent and Imagined (Wk3)

Generative AI, Foundation Models, LLMs & Critical AI Ethics (Wk 4)

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Introduces core AI concepts in an easy-to-understand manner, making it accessible to learners without a background in the field

Provides a comprehensive overview of AI, covering its principles, capabilities, risks, and ethics

Develops a foundational understanding of AI, enabling learners to engage in informed discussions and make strategic decisions about AI adoption

Encourages critical thinking about the implications of AI on individuals, organizations, and society as a whole

Offers insights into the latest advancements in AI, including generative AI, foundation models, and LLMs

Taught by experienced instructor Jim Samuel, who is recognized for his work in AI

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 Concepts and Strategy with these activities:

Join a study group or online forum for AI

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Facilitates peer-to-peer learning and knowledge sharing.

Browse courses on Discussion

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Find a study group or online forum related to AI.
Participate in discussions and ask questions.
Collaborate on projects or assignments.

Review 'AI: A Modern Approach'

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Introduces core concepts of AI, providing a solid foundation for understanding the course materials.

View Melania on Amazon

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Read the book's introduction and first chapter to gain an overview of AI.
Summarize the key concepts and principles of AI discussed in the book.
Identify the different types of AI algorithms.
Discuss the ethical implications and societal impact of AI.

Practice AI problem-solving on LeetCode

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Sharpens your problem-solving skills and reinforces core AI algorithms.

Browse courses on Problem-Solving

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Register on LeetCode.
Start with the 'Easy' difficulty level problems.
Gradually progress to more difficult problems as you gain confidence.
Review solutions and discuss approaches with others.

Five other activities

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Explore Google's AI platform

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Familiarizes you with a widely used cloud platform for AI development and deployment.

Browse courses on Google AI

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Create a Google Cloud account.
Complete the 'Machine Learning Crash Course' tutorial.
Explore the available AI services and tools.

Solve AI algorithm challenges on Kaggle

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Provides opportunities to apply AI algorithms to real-world datasets.

Browse courses on Problem-Solving

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Create a Kaggle account.
Join AI competitions or practice challenges.
Develop and submit your AI models.
Analyze the results and improve your models.

Build an AI-powered chatbot

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Applies AI techniques to create a practical application and deepens your understanding of NLP.

Browse courses on Chatbot Development

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Choose a chatbot platform.
Design the chatbot's conversation flow.
Train the chatbot using a dataset.
Test and refine the chatbot's performance.

Contribute to an open-source AI project

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Provides hands-on experience in AI development and collaboration.

Browse courses on Open-Source

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Identify an open-source AI project that aligns with your interests.
Find a bug to fix or a feature to add.
Contribute your changes to the project.
Engage with the community and discuss your work.

Develop an AI strategy for a real-world problem

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Applies AI concepts to a specific problem and fosters critical thinking.

Browse courses on AI Strategy

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Identify a real-world problem that can be addressed with AI.
Research different AI approaches and techniques.
Develop an AI strategy that outlines your solution.
Present your strategy to others for feedback.

Career center

Learners who complete AI Concepts and Strategy will develop knowledge and skills that may be useful to these careers:

AI Engineer

An AI Engineer develops and maintains artificial intelligence systems. This course provides a foundation in AI concepts, principles, and strategy. The course's focus on ethics and risks in AI development is also relevant to this role.

See salaries and explore the career path for AI Engineer

Machine Learning Engineer

A Machine Learning Engineer develops and maintains machine learning systems. This course provides a foundation in AI concepts, principles, and strategy. The course's focus on ethics and risks in AI development is also relevant to this role.

See salaries and explore the career path for Machine Learning Engineer

AI Researcher

An AI Researcher conducts research in the field of artificial intelligence. This course may be useful in providing a foundation in AI concepts, principles, and strategy. The course's focus on ethics and risks in AI development is also relevant to this role.

See salaries and explore the career path for AI Researcher

Data Scientist

A Data Scientist uses data to develop and improve products and services. This course may be useful in providing a foundation in AI concepts, principles, and strategy. The course's focus on ethics and risks in AI development is also relevant to this role.

See salaries and explore the career path for Data Scientist

Software Engineer

A Software Engineer designs, develops, and maintains software systems. This course may be useful in providing a foundation in AI concepts, principles, and strategy. The course's focus on ethics and risks in AI development is also relevant to this role.

See salaries and explore the career path for Software Engineer

AI Architect

An AI Architect designs and builds artificial intelligence systems. This course may be useful in providing a foundation in AI concepts, principles, and strategy. The course's focus on ethics and risks in AI development is also relevant to this role.

See salaries and explore the career path for AI Architect

Systems Analyst

A Systems Analyst analyzes and designs systems. This course may be useful in providing a foundation in AI concepts, principles, and strategy. The course's focus on ethics and risks in AI development is also relevant to this role.

See salaries and explore the career path for Systems Analyst

Project Manager

A Project Manager plans and executes projects. This course may be useful in providing a foundation in AI concepts, principles, and strategy. The course's focus on ethics and risks in AI development is also relevant to this role.

See salaries and explore the career path for Project Manager

User Experience Designer

A User Experience Designer designs and evaluates the user experience of products and services. This course may be useful in providing a foundation in AI concepts, principles, and strategy. The course's focus on ethics and risks in AI development is also relevant to this role.

See salaries and explore the career path for User Experience Designer

Investor

An Investor invests money in businesses and other ventures. This course may be useful in providing a foundation in AI concepts, principles, and strategy. The course's focus on ethics and risks in AI development is also relevant to this role.

See salaries and explore the career path for Investor

Business Analyst

A Business Analyst analyzes and improves business processes. This course may be useful in providing a foundation in AI concepts, principles, and strategy. The course's focus on ethics and risks in AI development is also relevant to this role.

See salaries and explore the career path for Business Analyst

Product Manager

A Product Manager manages the development and launch of products and services. This course may be useful in providing a foundation in AI concepts, principles, and strategy. The course's focus on ethics and risks in AI development is also relevant to this role.

See salaries and explore the career path for Product Manager

Consultant

A Consultant provides advice and guidance to organizations on a variety of topics. This course may be useful in providing a foundation in AI concepts, principles, and strategy. The course's focus on ethics and risks in AI development is also relevant to this role.

See salaries and explore the career path for Consultant

Technical Writer

A Technical Writer creates and maintains documentation for technical products and services. This course may be useful in providing a foundation in AI concepts, principles, and strategy. The course's focus on ethics and risks in AI development is also relevant to this role.

See salaries and explore the career path for Technical Writer

Entrepreneur

An Entrepreneur starts and runs a business. This course may be useful in providing a foundation in AI concepts, principles, and strategy. The course's focus on ethics and risks in AI development is also relevant to this role.

See salaries and explore the career path for Entrepreneur