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2022-01-01–IBM–Creating-a-Spark-for-Artificial-Intelligence conv 1

Creating a Spark for Artificial Intelligence

IBM Creating a Spark for Artificial Intelligence is an introductory course that familiarizes participants with the basics of Artificial Intelligence (AI). Here are the key components covered in this course: Foundational AI Concepts: Participants learn and define five key terms related to AI: AI, neural network, big data, algorithm, and machine learning. Through analogy, interactive […]
2022-01-01–IBM–IBM-AI-Foundations-for-Educators conv 1

AI Foundations for Educators

The IBM AI Foundations for Educators program is designed to empower educators with essential knowledge and skills related to Artificial Intelligence (AI). Here are the key points covered in this program: Foundational AI Concepts: Educators learn about fundamental AI concepts, including machine learning, natural language processing, and neural networks. They gain insights into how AI […]
2022-01-01–IBM–AI-and-the-Classroom-The-Perfect-Marriage conv 1

AI and the Classroom – A Perfect Marriage

The IBM AI and the Classroom – A Perfect Marriage program is designed to equip K-12 educators with essential knowledge and skills related to Artificial Intelligence (AI). Here are the key points covered in this program: Introduction to AI: Educators learn about the foundational concepts of AI. Topics include neural networks, big data, algorithms, and […]
2021-11-20–IBM–Working-in-a-Digital-World-Professional-Skills conv 1

Working in a Digital World: Professional Skills

The IBM Working in a Digital World: Professional Skills program focuses on essential skills for professional success in the information technology workforce. Participants gain proficiency in key areas necessary for effective collaboration, communication, problem-solving, and customer experiences. Here are the core skills covered in this program: Creating and Delivering Presentations: Participants learn how to create […]
2021-09-18–IBM–Data-Visualisation-with-R conv 1

Data Visualization with R

IBM Data Visualization with R is a program that focuses on creating and customizing data presentation graphics and charts using the R programming language. Participants learn key concepts related to data visualization, including how to summarize, format, and interpret data. By mastering these skills, individuals can effectively identify patterns and trends critical for informed business […]
2021-09-18–IBM–Data-Science-Methodologies conv 1

Data Science Methodologies

The IBM Data Science Methodologies program provides essential knowledge for effectively solving business and research problems using data science. It covers the essential steps in the data science process, including problem definition, data collection and analysis, model building, and understanding model deployment results12. Whether you’re a data scientist, business analyst, or researcher, understanding these methodologies […]
2021-07-11–IBM–Data-Science-Foundations conv 1

Data Science Foundations (Level 2)

The IBM Data Science Foundations (Level 2) program builds upon foundational data science knowledge and takes it to the next level. Here are the key components covered in this program: Advanced Data Science Techniques: Participants delve deeper into data science methodologies, tools, and techniques. The program covers advanced statistical analysis, machine learning algorithms, and predictive […]
2021-07-11–IBM–Deep-Learning conv 1

Deep Learning (Level 2)

The IBM Deep Learning (Level 2) program is designed to advance your deep learning skills to the next level. In this course, you’ll explore more advanced topics related to deep neural networks, convolutional neural networks (CNNs), recurrent neural networks (RNNs), and generative adversarial networks (GANs). Here are the key components covered in this program: Advanced […]
2021-07-11–IBM–Deep-Learning-using-Tensorflow conv 1

Deep Learning using TensorFlow

IBM Deep Learning using TensorFlow is a program that equips participants with the ability to apply TensorFlow for deep learning tasks. Here are the key components covered in this program: Foundational TensorFlow Concepts: Participants learn essential TensorFlow concepts, including main functions, operations, and execution pipelines. They understand how TensorFlow can be used for tasks such […]
2021-07-11–IBM–Machine-Learning-with-R conv 1

Machine Learning with R (Level 1)

The IBM Machine Learning with R (Level 1) program provides foundational knowledge for working with R in the context of machine learning. Here are the key components covered in this program: Supervised vs. Unsupervised Learning: Participants learn about the distinction between supervised and unsupervised learning approaches. They understand how to apply these techniques using R. […]
2021-07-10–IBM–Accelerated-Deep-Learning-with-GPU conv 1

Accelerated Deep Learning with GPU

The IBM Accelerated Deep Learning with GPU program provides essential knowledge related to leveraging accelerated hardware to overcome scalability challenges common in deep learning solutions. Participants gain an understanding of how a graphics processing unit (GPU) can accelerate computations for convolutional neural networks within a cloud computing environment1. If you’re interested in optimizing deep learning […]
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Hadoop Programming (Level 2)

The IBM Hadoop Programming (Level 2) program is designed to advance your Hadoop programming skills to the next level. In this course, you’ll learn how to use advanced features of the Hadoop ecosystem, including tools such as Spark, Hive, Pig, and Sqoop. By mastering these tools, you’ll be well-prepared to tackle complex data challenges and […]
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