AI Workflow: AI in Production

BY
IBM via Coursera

Study the details of Artificial Intelligence by enrolling for the online course on AI Workflow: AI in Production by Coursera.

Lavel

Expert

Mode

Online

Duration

3 Weeks

Quick Facts

particular details
Medium of instructions English
Mode of learning Self study
Mode of Delivery Video and Text Based
Learning efforts 5 Hours Per Week

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

The fees for the course AI Workflow: AI in Production is -

HeadAmount in INR
1 monthRs. 6,634
3 monthRs. 13,268
6 monthRs. 19,903

 

certificate availability

Yes

certificate providing authority

Coursera

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.

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

Machine learning Knowledge of nlp modelling

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.

The syllabus

Module 1: Feedback loops and Monitoring

Videos
  • Feedback Loops and Unit Testing
  • Feedback Loops and Unit Tests
  • Performance Monitoring and Business Metrics
  • Performance Drift
  • Performance Monitoring Case Study
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)

Readings
  • Capstone: Through the Eyes of Our Working Example
  • What is in the Capstone and Associated Review?
  • Review of Course 1: Business Priorities and Data Ingestion
  • Review of Course 2: Data Analysis and Hypothesis Testing
  • Review of Course 3: Feature Engineering and Bias Detection
  • Review of Course 4: Machine Learning, Visual Recognition, and NLP
  • Review of Course 5: Enterprise Model Deployment
  • About the Data
  • Capstone Assignment 1: Through the Eyes of Our Working Example
  • Capstone Part 1: Getting Started (Hands-On)

Module 4: Capstone: Pulling it all together (Part 2)

Readings
  • Capstone Assignment 2: Through the Eyes of Our Working Example
  • Capstone Part 2: Getting Started (Hands-On)
  • Capstone Part 3: Getting Started (Hands-On)
  • Solution Files

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.

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

Mr Mark J Grover
Digital Content Delivery Lead
IBM

Mr Ray Lopez
Leader
IBM

Ph.D

FAQs

Can all students apply for the course?

Only professionals who have a deep understanding of the domain of data science and want to further strengthen their skills can apply.

What is the level of the programme?

The level of the AI Workflow: AI in Production online course has been mandated as advance.

In the course is financial assistance available?

Yes, for the AI Workflow: AI in Production training financial assistance is available.

Is this a professional course?

Yes, the online certification course is an entirely professional-level program.

From where can the students get to access the course resources?

The students can access the details of the AI Workflow: AI in Production program from the official site of Coursera.

Where is the syllabus details provided?

The AI Workflow: AI in Production certification syllabus has been mentioned on the program URL.

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