This course is part of the CertNexus Certified Artificial Intelligence Practitioner Professional Certificate

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Renée Cummings

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CertNexus Certified Artificial Intelligence Practitioner Professional CertificateCertNexus

About this Course

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Artificial intelligence (AI) and machine learning (ML) have become an essential part of the toolset for many organizations. When used effectively, these tools provide actionable insights that drive critical decisions and enable organizations to create exciting, new, and innovative products and services.
This is the first of four courses in the Certified Artificial Intelligence Practitioner (CAIP) professional certification. This course is meant as an entry point into the world of AI/ML. You'll learn about the business problems that AI/ML can solve, as well as the specific AI/ML technologies that can solve them. In addition, you'll get an overview of the general workflow involved in machine learning, as well as the tools and other resources that support it. This course also promotes the importance of ethics in AI/ML, and provides you with techniques for addressing ethical challenges.

Ultimately, this course will get you thinking about the "why?" of AI/ML, and it will ensure that your more technical work in later courses is done with clear business goals in mind.

Flexible deadlines

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Shareable Certificate

Earn a Certificate upon completion

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Coursera Labs

Includes hands on learning projects.

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Course 1 of 5 in the

CertNexus Certified Artificial Intelligence Practitioner Professional Certificate

Intermediate Level

A high-level understanding of fundamental AI concepts is required, and general business knowledge is preferred.

Approx. 11 hours to complete

English

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What you will learn

Identify appropriate applications of AI and machine learning within a given business situation.
Formulate a machine learning approach to solve specific business problems.
Select appropriate tools to solve given machine learning problems.
Protect data privacy and promote ethical practices when developing and deploying AI and machine learning projects.

Skills you will gain

Artificial Intelligence (AI)
Machine Learning
Business Solutions
Ethics Of Artificial Intelligence
Data Structure

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Coursera Labs

Includes hands on learning projects.

Learn more about Coursera Labs

Course 1 of 5 in the

CertNexus Certified Artificial Intelligence Practitioner Professional Certificate

Intermediate Level

A high-level understanding of fundamental AI concepts is required, and general business knowledge is preferred.

Approx. 11 hours to complete

English

Could your company benefit from training employees on in-demand skills?

Try Coursera for Business

Instructor

Instructor rating

4.7/5 (11 Ratings)

Renée Cummings

Founder and CEO, Urban AI, LLC

Certification Contributor

16,134 Learners

5 Courses

Offered by

CertNexus

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Syllabus - What you will learn from this course

Week1

Week 1

4 hours to complete

Apply AI and ML to Business Problems

Deep learning, machine learning (ML), and other forms of artificial intelligence (AI) are on the rise. Organizations use these technologies to inform business decisions and guide operations—often with profound results. However, it can be challenging to identify which business problems are most amenable to these technologies. In this first module, you'll begin exploring AI and ML as solutions to these problems.

4 hours to complete

18 videos (Total 60 min), 3 readings, 5 quizzes

18 videos

CAIP Specialization Introduction3mSolve Business Problems with AI and Machine Learning Course Introduction1mIdentify Data-Driven Emerging Technologies Module Introduction1mThe Data Hierarchy3mBig Data3mData Mining3mApplied AI and ML in Business6mAppropriate Business Problems4mChallenges of AI/ML4mMachine Learning Model1mMachine Learning Workflow1mUseful Skillsets3mConcept Drift and Transfer Learning2mProblem Formulation5mDifferences Between Traditional Programming and Machine Learning2mDifferences Between Supervised and Unsupervised Learning2mRandomness and Uncertainty4mMachine Learning Outcomes3m

3 readings

Overview2mGuidelines for Following the Machine Learning Workflow5mGuidelines for Formulating a Machine Learning Outcome 5m

1 practice exercise

Applying AI and ML to Business Problems30m

Week2

Week 2

2 hours to complete

Select Appropriate Tools

2 hours to complete

4 videos (Total 8 min), 6 readings, 2 quizzes

Week3

Week 3

4 hours to complete

Promote Data Privacy and Ethical Practices

As AI and machine learning have the potential to revolutionize business, so too will they bring significant changes to society and the individuals in that society. It's vital that anyone involved in developing such technologies, including practitioners, is prepared to handle the ethical risks that arise. In this module, you'll explore those ethical risks, as well as strategies for mitigating such risks.

4 hours to complete

16 videos (Total 56 min), 5 readings, 5 quizzes

16 videos

Promote Data Privacy and Ethical Practices Module Introduction1mData Protection4mData Privacy Laws2mPrivacy by Design3mData Privacy Principles at Odds with Machine Learning3mCompliance with Data Privacy Laws and Standards5mData Sharing and Privacy3mThe Big Data Challenge2mPreconceived Notions1mThe Black Box Challenge3mBias, Prejudice, and Discrimination4mEthics in NLP2mUse of Data for Unintended Purposes2mIntellectual Property4mHumanitarian Principles6mAsilomar AI Principles5m

5 readings

Overview2mGuidelines for Protecting Data Privacy10mGuidelines for Promoting Ethical Practices3mPrivacy and Data Governance for AI and ML2mGuidelines for Establishing Policies Covering Data Privacy and Ethics15m

1 practice exercise

Promoting Data Privacy and Ethical Practices30m

Week4

Week 4

2 hours to complete

Apply What You've Learned

2 hours to complete

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About the CertNexus Certified Artificial Intelligence Practitioner Professional Certificate

The Certified Artificial Intelligence Practitioner™ (CAIP) specialization prepares learners to earn an industry validated certification which will differentiate themselves from other job candidates and demnstrate proficiency in the concepts of Artificial intelligence (AI) and machine learning (ML) found in CAIP.

AI and ML have become an essential part of the toolset for many organizations. When used effectively, these tools provide actionable insights that drive critical decisions and enable organizations to create exciting, new, and innovative products and services. This specialization shows you how to apply various approaches and algorithms to solve business problems through AI and ML, follow a methodical workflow to develop sound solutions, use open source, off-the-shelf tools to develop, test, and deploy those solutions, and ensure that they protect the privacy of users. The specialization is designed for data science practitioners entering the field of artificial intelligence and will prepare learners for the CAIP certification exam. Your journey to CAIP Certification 1) Complete the Coursera Certified Artificial Intelligence Practitioner Professional Certificate 2) Review the CAIP AIP Exam Blueprint 3) Purchase your CAIP Exam Voucher 4) Register for your CAIP Exam

CertNexus Certified Artificial Intelligence Practitioner

Frequently Asked Questions

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