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Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study | Video and Text Based |
Course Overview
AI Fundamentals for Non-Data Scientists is an online certification course that helps non-data scientists to get familiar with the fundamental concepts of artificial intelligence. The course can be taken by anyone interested in exploring artificial intelligence and can be easily finished within about 9 hours. AI Fundamentals for Non-Data Scientists Certification Syllabus provide the learners with a sheer glance into the basics of machine learning and artificial intelligence.
The AI Fundamentals for Non-Data Scientists Certification Course, administered by Coursera, will also provide the learners with a shareable certification at the end of the online course. During the online programme, the learners will also have the opportunity to watch and understand the exclusive interview with industry leaders of reputed companies. AI Fundamentals for Non-Data Scientists Certification by Coursera, offered by the University of Pennsylvania, is the first course in the four programmes of AI For Business Specialization.
The Highlights
- Provided by Coursera
- Offered by the University of Pennsylvania
- Self-Paced Learning Option
- 100% Online Course
- Around 9 Hours to Complete
- Flexible Deadlines
- Shareable Certificate
- Financial Aid Available
Programme Offerings
- English videos with multiple subtitles
- Shareable Certificate
- Financial aid available
- Shareable Certificates
- Self-Paced Learning Option
- Course Videos & Readings
- practice quizzes
- Graded Assignments with peer feedback
- graded Quizzes with feedback.
Courses and Certificate Fees
| Certificate Availability | Certificate Providing Authority |
|---|---|
| yes | PennCoursera |
The fees for the course AI Fundamentals for Non-Data Scientists is -
Description | Total Fee in INR |
Course Fee, 1 month | Rs. 6,638 |
Course Fee, 3 months | Rs. 13,276 |
Course Fee, 6 months | Rs. 19,915 |
What you will learn
By the end of the AI Fundamentals for Non-Data Scientists Training, the learners can learn:
- The process of big data interpretation using machine learning.
- Build algorithms with Teachable Machine and TensorFlow to apply in the business.
- ML methods and Deep Learning.
- GANs and VAEs
Who it is for
AI Fundamentals for Non-Data Scientists Classes can be pursued by learners who are very interested in learning the artificial intelligence fundamentals such as the professionals like Data Scientist, Big Data Developer and Artificial Intelligence Engineer.
Admission Details
Step 1 - Register and sign in at https://www.coursera.org
Step 2 - Look for the online course ‘AI Fundamentals for Non-Data Scientists’ offered by the University of Pennsylvania.
Step 3 - Begin taking the course by choosing the option ‘Enroll’.
The Syllabus
Videos
- AI for Business Introduction
- Course Introduction
- Big Data Overview
- Big Data Analysis
- Data Management Tools
- Data Management Infrastructure
- Data Analysis: Extracting Intelligence from Big Data
- Introduction to Artificial Intelligence
- Machine Learning Overview
- Reinforcement Learning
- A Detailed View of Machine Learning
Reading
- Module 1 Slides
Practice Exercise
- Module 1 Quiz
Videos
- Specific Machine Learning Methods: A Deep Dive
- Intro to Model Selection
- Feature Engineering and Deep Learning Introduction
- Deep Learning
- How Deep Learning Works
- Limitations of Deep Learning
- Evaluating ML Performance
- Common Loss Functions
- Tradeoffs Between Loss Functions
- How is Training Data Acquired?
- The Over-Fitting Problem
- Test Data
- Examples of End-to-End Work Flow
Reading
- Module 2 Slides
Practice Exercise
- Module 2 Quiz
Videos
- Natural Language Processing
- GANs and VAEs
- Intro to AutoML
- Using AutoML
- Teachable Machine
- TensorFlow Playground
- ML Operations
- Chicken and Egg
Reading
- Module 3 Slides
Practice Exercise
- Module 3 Quiz
Video
- Interview With Ed Lee
Instructors
Penn Frequently Asked Questions (FAQ's)
The online course belongs to the AI For Business Specialization.
The online programme is developed and instructed jointly by Kartik Hosanagar who is a professor at Wharton School and Prasanna Tambe who is the Associate Professor of Operations of Information and Decisions.
The learner can successfully complete the online certificate programme within about 9 hours.
The certification programme is offered by the University of Pennsylvania.
Yes, Coursera provides an EMI option to make the payment of fees.