- Feedback Loops and Unit Testing
- Feedback Loops and Unit Tests
- Performance Monitoring and Business Metrics
- Performance Drift
- Performance Monitoring Case Study
Expert
Online
Quick facts
particular | details | |
---|---|---|
Medium of instructions
English
|
Mode of learning
Self study
|
Mode of Delivery
Video and Text Based
|
Course overview
Part six in the series of programs on the same domain the online course on AI Workflow: AI in Production by Coursera can be persuaded by students who have an earlier and strong understanding of - NumPy, IBM Watson studio, Python, Pandas, Linear Algebra, and Descriptive and inferential statistical concepts.
The online course focuses on the models of productions that are aimed at streaming media companies. The course will be introducing the students to the core concepts of IBM Watson Learning. The online program over the period of 17 hours covers the topics of - data analysis, visual recognition, machine learning, and hypothesis testing, bias detection, NLP and others. The AI Workflow: AI in Production certification syllabus will be covered by professionals.
The highlights
- 100% online program
- 17 hours total course duration
- Subtitles in English
- Program by Coursera
- Course offered by IBM
- Advanced level course
- Shareable certificate
- Deadlines flexible
Program offerings
- Online course
- Subtitles
- Assignments
- Video lectures
- Practice sets
- Quizzes
Course and certificate fees
- As the AI Workflow: AI in Production fee for enrolling the students have to pay no amount.
AI Workflow: AI in Production Fee Structure
Particulars | Fee Amount in INR |
AI Workflow: AI in Production (Audit) | Free |
AI Workflow: AI in Production - 1 month | Rs.6,587/- |
AI Workflow: AI in Production - 3 months | Rs.13,175/- |
AI Workflow: AI in Production - 6 months | Rs.19,763/- |
certificate availability
certificate providing authority
Eligibility criteria
Education
To participate in the AI Workflow: AI in Production online course, the applying candidates need to have a fundamental understanding of probability theory, Linear Algebra, descriptive and inferential statistical concepts, sampling, Python, machine learning, design thinking, IBM Watson studio, Pandas and NumPy
Certification Qualification Details
For getting the AI Workflow: AI in Production certificate the applicants need to complete the course in the stipulated time frame.
What you will learn
After completing the entire course of AI Workflow: AI in Production the students will have skills developed in-
- In the program, the students will study the usage of docker.
- The mechanisms of deploying UI to integrate ML models will be elaborated.
- The professors will be providing detailed discussions on the domain of NLU and Watson.
- Candidates will further be learning about the IBM Watson mechanisms.
- Students will have their skills developed in the loop technology.
- The AI Workflow: AI in Production certification syllabus will cover the details of IBM Watson.
Who it is for
The AI Workflow: AI in Production program is intended for the following students-
- Students who are already practicing as Data scientists but want a further understanding of Machine learning can apply for the online course.
Admission details
Filling the form
For securing a seat in the course of AI Workflow: AI in Production online course the students have to follow the mentioned steps-
Step 1: Candidates have to visit the official course URL.
Step 2: For applying to the course the students need to click on the “enroll” option.
The syllabus
Module 1: Feedback loops and Monitoring
Videos
Readings
- Feedback Loops and Unit Tests: Through the Eyes of Our Working Example
- Feedback Loops
- Unit tests
- Unit Testing in Python
- Test-Driven Development (TDD)
- CI/CD
- Performance Monitoring: Through the Eyes of Our Working Example
- Logging
- Minimal Requirements for Log Files
- Logging in Python (Hands-On)
- Model Performance Drift
- Performance Drift Notebook Review
- Security and Machine Learning Models
- Performance Monitoring Case Study: Through the Eyes of Our Working Example
- Getting Started (Hands-On)
- Summary/Review
Quizzes
- Check for Understanding
- Check for Understanding
- Check for Understanding
- End of Module Quiz
Module 2: Hands on with Openscale and Kubernetes
Videos
- Operationalize Trusted AI with IBM Watson OpenScale
- Kubernetes Explained
- Kubernetes vs. Docker: It's Not an Either/Or Question
Readings
- Watson OpenScale: Through the eyes of our Working Example
- Getting started (hands-on)
- Kubernetes Explained: Through the Eyes of Our Working Example
- Introduction to Kubernetes
- Getting Started (Hands-On)
- Summary/Review
Quizzes
- Check for Understanding
- Check for Understanding
- End of Module Quiz
Module 3: Capstone: Pulling it all together (Part 1)
Module 4: Capstone: Pulling it all together (Part 2)
Scholarship Details
Financial aid is available but the amount has not been specified.
How it helps
The AI Workflow: AI in Production certification benefits the students by allowing them a platform to practice real-world problem statements by appearing for multiple assignments and test series. The course has been structured by the institute of IBM and is available for professionals at free enrollment on the platform of Coursera. The AI Workflow: AI in Production training allows the students to get guidance from industry experts and professionals. Also, in the course, the students will get to access a seven-day trial program. The certificate the students will be getting after the end of the course can be shared on multiple platforms and domains. The course will thus be helping the students to develop their skills professionally.
Instructors
Mr Mark J Grover
Digital Content Delivery Lead
IBM
Mr Ray Lopez
Leader
IBM
Ph.D
FAQs
Only professionals who have a deep understanding of the domain of data science and want to further strengthen their skills can apply.
The level of the AI Workflow: AI in Production online course has been mandated as advance.
Yes, for the AI Workflow: AI in Production training financial assistance is available.
Yes, the online certification course is an entirely professional-level program.
The students can access the details of the AI Workflow: AI in Production program from the official site of Coursera.
The AI Workflow: AI in Production certification syllabus has been mentioned on the program URL.
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