About this Course

8,408 recent views
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Intermediate Level

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

Approx. 11 hours to complete
English

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 LearningBusiness SolutionsEthics Of Artificial IntelligenceData Structure
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Intermediate Level

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

Approx. 11 hours to complete
English

Offered by

Placeholder

CertNexus

Syllabus - What you will learn from this course

Week
1

Week 1

4 hours to complete

Apply AI and ML to Business Problems

4 hours to complete
18 videos (Total 60 min), 3 readings, 5 quizzes
18 videos
CAIP Specialization Introduction3m
Identify Data-Driven Emerging Technologies Module Introduction1m
The Data Hierarchy3m
Big Data3m
Data Mining3m
Applied AI and ML in Business6m
Appropriate Business Problems4m
Challenges of AI/ML4m
Machine Learning Model1m
Machine Learning Workflow1m
Useful Skillsets3m
Concept Drift and Transfer Learning2m
Problem Formulation5m
Differences Between Traditional Programming and Machine Learning2m
Differences Between Supervised and Unsupervised Learning2m
Randomness and Uncertainty4m
Machine Learning Outcomes3m
3 readings
Overview2m
Guidelines for Following the Machine Learning Workflow5m
Guidelines for Formulating a Machine Learning Outcome 5m
1 practice exercise
Applying AI and ML to Business Problems30m
Week
2

Week 2

2 hours to complete

Select Appropriate Tools

2 hours to complete
4 videos (Total 8 min), 6 readings, 2 quizzes
4 videos
New Tools and Technologies1m
Hardware Requirements3m
Cloud Platforms1m
6 readings
Overview2m
Open Source AI Tools15m
Proprietary AI Tools15m
GPU Platforms5m
Guidelines for Configuring a Machine Learning Toolset5m
Machine Learning Tools10m
2 practice exercises
Open Source and Proprietary AI Tools Quiz15m
Selecting Appropriate Tools30m
Week
3

Week 3

4 hours to complete

Promote Data Privacy and Ethical Practices

4 hours to complete
16 videos (Total 56 min), 5 readings, 5 quizzes
16 videos
Data Protection4m
Data Privacy Laws2m
Privacy by Design3m
Data Privacy Principles at Odds with Machine Learning3m
Compliance with Data Privacy Laws and Standards5m
Data Sharing and Privacy3m
The Big Data Challenge2m
Preconceived Notions1m
The Black Box Challenge3m
Bias, Prejudice, and Discrimination4m
Ethics in NLP2m
Use of Data for Unintended Purposes2m
Intellectual Property4m
Humanitarian Principles6m
Asilomar AI Principles5m
5 readings
Overview2m
Guidelines for Protecting Data Privacy10m
Guidelines for Promoting Ethical Practices3m
Privacy and Data Governance for AI and ML2m
Guidelines for Establishing Policies Covering Data Privacy and Ethics15m
1 practice exercise
Promoting Data Privacy and Ethical Practices30m
Week
4

Week 4

2 hours to complete

Apply What You've Learned

2 hours to complete

About the CertNexus Certified Artificial Intelligence Practitioner Professional Certificate

CertNexus Certified Artificial Intelligence Practitioner

Frequently Asked Questions

More questions? Visit the Learner Help Center.