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Introduction to AI/ML Fluency

Take our AI & ML for Beginners course and learn fundamental topics including what they are, different algorithms/methods, and their applications.

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What's inside

Syllabus

An introduction to basic AI concepts and the challenge of answering "what is AI?"

This lesson covers the basics of machine learning and artificial intelligence. You’ll develop an understanding of their potential and the language to talk about AI and ML.

This lesson focuses on capabilities commonly used in ML/AI systems.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Provides a strong foundation for learners with no prior knowledge

Helps students understand and apply basic AI and ML concepts

Provides a clear overview of commonly used capabilities in AI and ML systems

Taught by Udacity

This course is multi-modal and includes a mix of media, such as videos, readings, discussions, etc., making it an engaging learning experience

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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 Introduction to AI/ML Fluency with these activities:

Review core AI and ML concepts

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Review foundational knowledge in artificial intelligence and machine learning to build a stronger foundation for course content.

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Read through introductory materials and tutorials on AI and ML.
Recap basic concepts like algorithms, data structures, and programming fundamentals.

Participate in study groups or forums

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Engage with peers to share knowledge, clarify concepts, and enhance understanding.

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Join online forums or study groups related to AI and ML.
Actively participate in discussions, ask questions, and share insights.

Follow online tutorials and workshops

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Supplement course content with external resources to enhance understanding and practical skills.

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Identify reputable online tutorials and workshops aligned with course topics.
Actively participate in these resources to expand knowledge and skills.

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Career center

Learners who complete Introduction to AI/ML Fluency will develop knowledge and skills that may be useful to these careers:

Machine Learning Engineer

Machine Learning Engineers design and develop machine learning models to solve complex problems in a variety of industries. They use their knowledge of artificial intelligence and machine learning to create models that can learn from data and make predictions. Introduction to AI/ML Fluency can provide aspiring Machine Learning Engineers with the foundational knowledge they need to succeed in this field. This course will help them understand the different types of machine learning algorithms, how to evaluate their performance, and how to deploy them in real-world applications.

See salaries and explore the career path for Machine Learning Engineer

Data Scientist

Data Scientists use their knowledge of statistics, mathematics, and programming to analyze data and extract meaningful insights. They are responsible for developing and implementing data-driven solutions to help businesses solve complex problems. Introduction to AI/ML Fluency can provide aspiring Data Scientists with the foundational knowledge they need to succeed in this field. This course will help them understand the different types of machine learning algorithms, how to evaluate their performance, and how to deploy them in real-world applications.

See salaries and explore the career path for Data Scientist

Data Analyst

Data Analysts combine their understanding of mathematics and programming to extract meaningful insights from large datasets. They are responsible for collecting, cleaning, and analyzing data to identify trends and patterns that can help businesses make informed decisions. Introduction to AI/ML Fluency can help aspiring Data Analysts understand the fundamental concepts of artificial intelligence and machine learning. This course can provide them with the knowledge and skills needed to develop and implement data-driven solutions.

See salaries and explore the career path for Data Analyst

Software Engineer

Software Engineers design, develop, and maintain software systems. They use their knowledge of programming languages and software development methodologies to create software solutions that meet the needs of businesses. Introduction to AI/ML Fluency can provide aspiring Software Engineers with the foundational knowledge they need to succeed in this field. This course will help them understand the different types of machine learning algorithms and how to integrate them into software applications.

See salaries and explore the career path for Software Engineer

Product Manager

Product Managers are responsible for managing the development and launch of new products. They work with engineers, designers, and marketers to ensure that products meet the needs of customers. Introduction to AI/ML Fluency can provide aspiring Product Managers with the foundational knowledge they need to succeed in this field. This course will help them understand the different types of machine learning algorithms and how to use them to create innovative products.

See salaries and explore the career path for Product Manager

Business Analyst

Business Analysts work with businesses to identify and solve problems. They use their knowledge of business processes and data analysis to develop solutions that improve efficiency and profitability. Introduction to AI/ML Fluency can provide aspiring Business Analysts with the foundational knowledge they need to succeed in this field. This course will help them understand the different types of machine learning algorithms and how to use them to analyze data and identify trends.

See salaries and explore the career path for Business Analyst

Quantitative Analyst

Quantitative Analysts use their knowledge of mathematics and statistics to analyze financial data and develop investment strategies. They are responsible for developing and implementing models that can predict the performance of stocks, bonds, and other financial instruments. Introduction to AI/ML Fluency can provide aspiring Quantitative Analysts with the foundational knowledge they need to succeed in this field. This course will help them understand the different types of machine learning algorithms and how to use them to analyze financial data.

See salaries and explore the career path for Quantitative Analyst

Operations Research Analyst

Operations Research Analysts use mathematical and analytical techniques to solve complex problems in a variety of industries. They are responsible for developing and implementing solutions that improve efficiency and profitability. Introduction to AI/ML Fluency can provide aspiring Operations Research Analysts with the foundational knowledge they need to succeed in this field. This course will help them understand the different types of machine learning algorithms and how to use them to analyze data and identify trends.

See salaries and explore the career path for Operations Research Analyst

Market Researcher

Market Researchers conduct research to understand the needs and wants of consumers. They use their knowledge of research methods and data analysis to develop insights that can help businesses make informed decisions. Introduction to AI/ML Fluency can provide aspiring Market Researchers with the foundational knowledge they need to succeed in this field. This course will help them understand the different types of machine learning algorithms and how to use them to analyze data and identify trends.

See salaries and explore the career path for Market Researcher

Risk Analyst

Risk Analysts identify and assess risks that businesses face. They use their knowledge of risk management and data analysis to develop strategies to mitigate risks and protect businesses from financial loss. Introduction to AI/ML Fluency can provide aspiring Risk Analysts with the foundational knowledge they need to succeed in this field. This course will help them understand the different types of machine learning algorithms and how to use them to analyze data and identify risks.

See salaries and explore the career path for Risk Analyst

Insurance Underwriter

Insurance Underwriters assess the risk of insuring people and property. They use their knowledge of insurance products and data analysis to determine the likelihood of a claim being filed and the amount of coverage that should be provided. Introduction to AI/ML Fluency can provide aspiring Insurance Underwriters with the foundational knowledge they need to succeed in this field. This course will help them understand the different types of machine learning algorithms and how to use them to analyze data and assess risk.

See salaries and explore the career path for Insurance Underwriter

Financial Analyst

Financial Analysts analyze financial data to make recommendations about investments. They use their knowledge of financial markets and data analysis to develop investment strategies and make investment decisions. Introduction to AI/ML Fluency can provide aspiring Financial Analysts with the foundational knowledge they need to succeed in this field. This course will help them understand the different types of machine learning algorithms and how to use them to analyze financial data and identify investment opportunities.

See salaries and explore the career path for Financial Analyst

Actuary

Actuaries use mathematical and statistical techniques to assess risk and uncertainty. They are responsible for developing and implementing solutions that protect businesses and individuals from financial loss. Introduction to AI/ML Fluency can provide aspiring Actuaries with the foundational knowledge they need to succeed in this field. This course will help them understand the different types of machine learning algorithms and how to use them to analyze data and assess risk.

See salaries and explore the career path for Actuary

Statistician

Statisticians collect, analyze, and interpret data. They use their knowledge of statistics and data analysis to develop insights that can help businesses make informed decisions. Introduction to AI/ML Fluency can provide aspiring Statisticians with the foundational knowledge they need to succeed in this field. This course will help them understand the different types of machine learning algorithms and how to use them to analyze data and identify trends.

See salaries and explore the career path for Statistician

Data Engineer

Data Engineers design and build the infrastructure that stores and processes data. They use their knowledge of data engineering and data management to ensure that data is available and accessible to businesses. Introduction to AI/ML Fluency may be useful for aspiring Data Engineers who want to gain a foundational understanding of artificial intelligence and machine learning. This course will help them understand the different types of machine learning algorithms and how to use them to analyze data.

See salaries and explore the career path for Data Engineer

Reading list

We've selected 13 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 Introduction to AI/ML Fluency.

Deep Learning

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This authoritative reference covers deep learning models, architectures, and algorithms. It valuable resource for those interested in the latest advancements in deep learning.

Introduction to AI/ML Fluency

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What's inside

Syllabus

Good to know

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Activities

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Reading list

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