IBM
IBM AI Enterprise Workflow Specialization
IBM

IBM AI Enterprise Workflow Specialization

Mark J Grover
Ray Lopez, Ph.D.

Instructors: Mark J Grover

Access provided by New York State Department of Labor

7,363 already enrolled

Get in-depth knowledge of a subject
4.4

(205 reviews)

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

(205 reviews)

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

Details to know

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Taught in English

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Specialization - 6 course series

AI Workflow: Business Priorities and Data Ingestion

Course 17 hours4.3 (162 ratings)

What you'll learn

Skills you'll gain

Category: Design Thinking
Category: Python Programming
Category: Data Quality
Category: Business Priorities
Category: Data-Driven Decision-Making
Category: Data Cleansing
Category: Process Design
Category: Data Pipelines
Category: Artificial Intelligence
Category: Workflow Management
Category: Data Science
Category: Data Processing
Category: NumPy

AI Workflow: Data Analysis and Hypothesis Testing

Course 210 hours4.3 (122 ratings)

What you'll learn

Skills you'll gain

Category: Exploratory Data Analysis
Category: Data Analysis
Category: Probability Distribution
Category: Statistical Hypothesis Testing
Category: Data Science
Category: Data Wrangling
Category: Statistical Analysis
Category: Data Visualization Software
Category: Pandas (Python Package)
Category: Matplotlib
Category: Data Quality
Category: Statistics
Category: Jupyter
Category: Probability & Statistics
Category: Scikit Learn (Machine Learning Library)
Category: Data Cleansing
Category: Data Storytelling
Category: Feature Engineering

AI Workflow: Feature Engineering and Bias Detection

Course 312 hours4.4 (71 ratings)

What you'll learn

Skills you'll gain

Category: Dimensionality Reduction
Category: Feature Engineering
Category: Quality Assurance
Category: Machine Learning
Category: Data Manipulation
Category: Text Mining
Category: Unsupervised Learning
Category: Artificial Intelligence and Machine Learning (AI/ML)
Category: Data Visualization
Category: Data Validation
Category: Machine Learning Algorithms
Category: Exploratory Data Analysis
Category: Natural Language Processing
Category: Data Ethics
Category: Data Transformation
Category: Data Cleansing
Category: Anomaly Detection
Category: Applied Machine Learning

AI Workflow: Machine Learning, Visual Recognition and NLP

Course 413 hours4.4 (83 ratings)

What you'll learn

Skills you'll gain

Category: Natural Language Processing
Category: Decision Tree Learning
Category: Deep Learning
Category: Supervised Learning
Category: Scikit Learn (Machine Learning Library)
Category: Machine Learning Algorithms
Category: Regression Analysis
Category: Applied Machine Learning
Category: Tensorflow
Category: Statistical Machine Learning
Category: Classification And Regression Tree (CART)
Category: Artificial Neural Networks
Category: Machine Learning
Category: Predictive Modeling
Category: Computer Vision
Category: Image Analysis
Category: Random Forest Algorithm

AI Workflow: Enterprise Model Deployment

Course 59 hours4.2 (53 ratings)

What you'll learn

Skills you'll gain

Category: Apache Spark
Category: Machine Learning Algorithms
Category: Application Deployment
Category: Containerization
Category: PySpark
Category: Machine Learning
Category: Unsupervised Learning
Category: Data Pipelines
Category: IBM Cloud
Category: Feature Engineering
Category: Supervised Learning
Category: MLOps (Machine Learning Operations)
Category: Scalability

AI Workflow: AI in Production

Course 617 hours4.5 (49 ratings)

What you'll learn

Skills you'll gain

Category: Unit Testing
Category: Time Series Analysis and Forecasting
Category: Business Metrics
Category: Kubernetes
Category: Application Deployment
Category: IBM Cloud
Category: MLOps (Machine Learning Operations)
Category: Continuous Deployment
Category: Design Thinking
Category: Containerization
Category: Natural Language Processing
Category: Microservices

Instructors

Mark J Grover
13 Courses128,070 learners
Ray Lopez, Ph.D.
7 Courses32,089 learners

Offered by

IBM

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