IBM
IBM AI Enterprise Workflow Specialization

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IBM

IBM AI Enterprise Workflow Specialization

Mark J Grover
Ray Lopez, Ph.D.

Instructors: Mark J Grover

10,198 already enrolled

Included with Coursera Plus

Get in-depth knowledge of a subject
4.4

(218 reviews)

Advanced level
Designed for those already in the industry
2 months to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
4.4

(218 reviews)

Advanced level
Designed for those already in the industry
2 months to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

Details to know

Shareable certificate

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Taught in English

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Specialization - 6 course series

What you'll learn

Skills you'll gain

Category: Design Thinking
Category: Data Quality
Category: Python Programming
Category: Business Priorities
Category: Data Validation
Category: Data Processing
Category: Artificial Intelligence
Category: Data Science
Category: Data Pipelines
Category: IBM Cloud
Category: Strategic Thinking
Category: Machine Learning
Category: NumPy
Category: Workflow Management

What you'll learn

Skills you'll gain

Category: Exploratory Data Analysis
Category: Probability & Statistics
Category: Machine Learning
Category: Probability Distribution
Category: Statistical Hypothesis Testing
Category: Statistical Analysis
Category: Statistical Inference
Category: Statistics
Category: Python Programming
Category: Data Cleansing
Category: Data Science
Category: Jupyter
Category: Data Manipulation
Category: Dashboard
Category: Data Analysis
Category: Matplotlib
Category: Pandas (Python Package)

What you'll learn

Skills you'll gain

Category: Dimensionality Reduction
Category: Scikit Learn (Machine Learning Library)
Category: Anomaly Detection
Category: Feature Engineering
Category: Applied Machine Learning
Category: Data Validation
Category: Unsupervised Learning
Category: Text Mining
Category: Data Cleansing
Category: Machine Learning
Category: Artificial Intelligence and Machine Learning (AI/ML)
Category: Data Ethics
Category: Data Modeling
Category: Exploratory Data Analysis
Category: Data Transformation
Category: Quality Assurance
Category: Data Science
Category: Unstructured Data
Category: Python Programming
Category: Natural Language Processing

What you'll learn

Skills you'll gain

Category: Scikit Learn (Machine Learning Library)
Category: Decision Tree Learning
Category: Natural Language Processing
Category: Supervised Learning
Category: Deep Learning
Category: Machine Learning
Category: Regression Analysis
Category: Tensorflow
Category: Data Science
Category: Python Programming
Category: Predictive Modeling
Category: Machine Learning Algorithms
Category: Artificial Intelligence and Machine Learning (AI/ML)
Category: IBM Cloud
Category: Feature Engineering
Category: Artificial Neural Networks
Category: Classification And Regression Tree (CART)
Category: Applied Machine Learning
Category: Image Analysis
Category: Random Forest Algorithm

What you'll learn

Skills you'll gain

Category: Apache Spark
Category: Python Programming
Category: Data Science
Category: Performance Tuning
Category: Jupyter
Category: Containerization
Category: MLOps (Machine Learning Operations)
Category: Design Thinking
Category: PySpark
Category: Machine Learning
Category: Data Pipelines
Category: IBM Cloud
Category: Scalability

What you'll learn

Skills you'll gain

Category: Unit Testing
Category: Business Metrics
Category: Performance Analysis
Category: Data Science
Category: Time Series Analysis and Forecasting
Category: MLOps (Machine Learning Operations)
Category: Python Programming
Category: Application Deployment
Category: Workflow Management
Category: Machine Learning
Category: Design Thinking
Category: IBM Cloud
Category: Natural Language Processing
Category: Containerization
Category: Continuous Monitoring

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Instructors

Mark J Grover
13 Courses144,582 learners
Ray Lopez, Ph.D.
7 Courses37,496 learners

Offered by

IBM

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