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2024-10-29–Saylor–CS205-AI-Grade

CS205 : Building with A.I.

The 48-hour course syllabus comprises of 10 units that collectively encompass a range of AI relevant methods and technologies including but not limited to Machine Learning, NLPs, NLG, PL, NNs, Learning Agents, Regression Models, algorithms, Sentiment Analysis and other hues of AI. The training and exam covered a wide gamut of real-world AI acquisition, from […]
2024-07-29–Oracle–GenAI-Professional

Oracle Generative AI Professional

The Oracle Cloud Infrastructure 2024 Generative AI Professional certification is designed for Software Developers, Machine Learning/AI Engineers, and Gen AI Professionals. The prerequisite for this course includes a basic understanding of Machine Learning and Deep Learning concepts and experience with Python language. Individuals who earn this credential have a strong understanding of the Large Language […]
2022-07-28–DeepLearningAI–Neural-Networks-and-Deep-Learning–PDF conv 1

Neural Networks and Deep Learning

DeepLearning.AI’s “Deep Learning Specialization” is a foundational online program created by machine learning pioneer Andrew Ng. Here are the key highlights: Program Overview: Objective: Grow your skills and build a career in AI. Learner Community: Over 1 million learners have enrolled in this specialization. Self-Paced Learning: Clear, concise modules allow you to learn at your […]
2022-07-07–Snowflake–Hands-on-Essentials-Data-Warehouse–PDF conv 1

Data Warehouse: Hands-On Essentials

Snowflake Hands-On Essentials workshops are highly interactive, self-paced online courses designed for learners who are new to Snowflake or new to data work in general. These workshops provide practical experience and cover essential topics related to Snowflake. Here are the key details: Workshop Overview: Name: Hands-On Essentials Target Audience: Learners new to Snowflake or data […]
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 […]
2021-08-22–UniversitadiUrbino–Intelligenza-Artificiale conv 1

L’Intelligenza Artificiale

L’Intelligenza Artificiale at Urbino University is a multidisciplinary course that delves into the topic of artificial intelligence (AI) from various scientific, technical, ethical, social, economic, philosophical, and cultural perspectives. Here are some key aspects of the course: Course Overview: The course aims to provide a comprehensive understanding of AI, covering both theoretical foundations and practical […]
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. […]
2021-06-23–CloudxLab–Webinar-on-Scalable-Machine-Learning conv 1

Webinar on Scalable Machine

The CloudxLab Webinar on Scalable Machine Learning is an informative session that delves into the world of scalable machine learning. Here are the key details: Objective: The webinar aims to provide insights into building scalable machine learning systems. Participants will learn about best practices, tools, and techniques for handling large-scale data and models. Topics Covered: […]
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