Mark J Grover

Mark J. Grover is a member of the IBM Data & AI Learning team and specializes in creating and delivering online content. He comes to IBM from Cape Fear Community College in Wilmington, NC where he was a full time professor of computer technology. He was one of the coordinators for their Information Security program and taught courses in Computer Security, Network Administration, System Administration, and Microsoft Office. He was the lead Cisco instructor and faculty advisor to the school’s annual Cisco Netriders networking competition. During his tenure, he was recognized as a Cisco Instructor of Excellence – Expert level and was nominated for US Professor of the Year. Prior to teaching, Mark owned and operated a computer sales and service company for over 13 years. He then transitioned to a position working at the University of North Carolina Wilmington providing enterprise computer support, where he achieved the highest award for a staff member: The Award for Excellence in Innovation. Mark brings over 25 years of information technology experience to IBM. His passion includes camping, hiking, mountain biking, and spending time with his family. He is happily married and has two kids.

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Machine Learning Rapid Prototyping with IBM Watson Studio (Coursera) Coursera
IBM

Machine Learning Rapid Prototyping with IBM Watson Studio (Coursera)

Dive into the world of AI with our 'Machine Learning Rapid Prototyping with IBM Watson Studio' course. Master the art of automating your machine learning pipeline, allowing you to focus on fine-tuning models with domain knowledge. This course will guide you through creating an end-to-end automated pipeline using Watson Studio's AutoAI experiment tool and explore the underlying technologies developed by IBM Research.

Sep 14th 2026
4 Weeks
The AI Ladder: A Framework for Deploying AI in your Enterprise (Coursera) Coursera
IBM

The AI Ladder: A Framework for Deploying AI in your Enterprise (Coursera)

Embark on a strategic journey with 'The AI Ladder: A Framework for Deploying AI in Your Enterprise'. This course is designed for business and technical professionals aiming to incorporate Artificial Intelligence into their organizations effectively. Gain insights into the necessary requirements, terminologies, and concepts crucial for developing and deploying successful AI solutions.

Aug 31st 2026
1 Week
AI Workflow: Data Analysis and Hypothesis Testing (Coursera) Coursera
IBM

AI Workflow: Data Analysis and Hypothesis Testing (Coursera)

Embark on the second part of IBM's AI Enterprise Workflow Certification Specialization where you'll delve into advanced data analysis and hypothesis testing using artificial intelligence. This course builds upon foundational knowledge acquired in previous modules, equipping you with the tools to apply machine learning techniques effectively in real-world scenarios. Perfect for professionals aiming to enhance their analytical capabilities and decision-making processes.

Aug 31st 2026
2 Weeks
AI Workflow: Feature Engineering and Bias Detection (Coursera) Coursera
IBM

AI Workflow: Feature Engineering and Bias Detection (Coursera)

Dive into the third course of IBM's AI Enterprise Workflow Certification Specialization on Coursera. This comprehensive course builds upon previous knowledge and focuses on crucial aspects of AI workflows: feature engineering, managing class imbalances, and detecting bias in data. Designed for those committed to mastering advanced AI techniques, this course is ideal for professionals aiming to refine their skills in creating fair and effective machine learning models.

Aug 31st 2026
2 Weeks
AI Workflow: Business Priorities and Data Ingestion (Coursera) Coursera
IBM

AI Workflow: Business Priorities and Data Ingestion (Coursera)

Embark on a transformative journey with 'AI Workflow: Business Priorities and Data Ingestion', the foundational course of IBM's AI Enterprise Workflow Certification Specialization. This course is designed for those eager to harness the power of AI within their business operations, starting from setting clear priorities to efficiently ingesting data. Whether you're new to AI or looking to deepen your expertise, this course sets a strong base for understanding how AI can be effectively integrated into enterprise workflows.

Aug 31st 2026
2 Weeks
AI Workflow: Machine Learning, Visual Recognition and NLP (Coursera) Coursera
IBM

AI Workflow: Machine Learning, Visual Recognition and NLP (Coursera)

Dive into the fourth course of the IBM AI Enterprise Workflow Certification Specialization on Coursera. This course is designed to build upon previous knowledge and guide you through setting up models and data pipelines for a hypothetical streaming media company, focusing on machine learning, visual recognition, and natural language processing (NLP).

Aug 31st 2026
2 Weeks
Deep Learning and Reinforcement Learning (Coursera) Coursera
IBM

Deep Learning and Reinforcement Learning (Coursera)

Dive into the world of cutting-edge Machine Learning disciplines with our 'Deep Learning and Reinforcement Learning' course. Learn about Neural Networks, modern Deep Learning architectures, and apply these concepts to Supervised and Unsupervised Learning scenarios. This course is ideal for those looking to advance their skills in AI and machine learning.

Aug 31st 2026
5-12 Weeks
Specialized Models: Time Series and Survival Analysis (Coursera) Coursera
IBM

Specialized Models: Time Series and Survival Analysis (Coursera)

Dive into the world of specialized machine learning models with 'Specialized Models: Time Series and Survival Analysis'. This comprehensive online course will equip you with essential skills in forecasting and analyzing complex datasets that involve time components or censored data. Perfect for professionals looking to advance their predictive modeling expertise.

Aug 31st 2026
4 Weeks
Exploratory Data Analysis for Machine Learning (Coursera) Coursera
IBM

Exploratory Data Analysis for Machine Learning (Coursera)

Embark on a journey into the world of Machine Learning with this foundational course designed to equip you with essential skills in data preparation and exploration. From data retrieval to cleaning and feature engineering, this course lays down the groundwork necessary for preliminary analysis and hypothesis testing, setting the stage for advanced machine learning applications.

Aug 24th 2026
2 Weeks
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