https://www.udemy.com/course/openshift-4-from-scratch/

https://www.udemy.com/course/beginners-guide-to-python-programming-learn-code-succeed/

Python Machine Learning and Python Deep Learning with Data Analysis, Artificial Intelligence, OOP, and Python Projects

Learn and become professional at HTML and CSS concepts

Beginners Guide to Learn Data Science From Scratch and Master Numpy, Pandas, Matplotlib, Scikit-Learn and many more…

Published 4/2024
Duration: 13h27m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 5.39 GB
Genre: eLearning | Language: English

Learn C# unit testing best practices by refactoring real-world examples.

https://www.linkedin.com/learning/java-cheat-codes-most-popular-functions

Step by Step Data Integration and Reporting

https://www.udemy.com/course/ios-development-craft-your-first-app-with-swiftui

https://www.udemy.com/course/applied-fundamentals-guess-the-number-g

https://www.udemy.com/course/applied-fundamentals-hangman-f

https://www.udemy.com/course/laravel-11-vue-3-fullstack-blog

https://www.udemy.com/course/python-and-reportlab-for-efficient-reporting-and-automation

https://www.udemy.com/course/introduction-to-ai-automation-with-n8n-and-langchain

https://www.udemy.com/course/learn-spring-boot-angular-keycloak-with-project-based/

https://www.linkedin.com/learning/applied-machine-learning-algorithms-23750732

  With the growing importance of machine learning in almost every sector, professionals need a deeper understanding and practical approach to implementing ML algorithms effectively.  This course covers commonly used machine learning algorithms. Instructor Matt Harrison focuses on non-deep learning algorithms, covering PCA, clustering, linear and logistic regression, decision trees, random forests, and gradient boosting.  Join Matt in this course to understand common ML algorithms, learn their pros and cons, and develop hands-on skills to leverage them by following along with challenges and solutions in GitHub Codespaces.

https://www.linkedin.com/learning/integrating-generative-ai-into-javascript-web-projects

The emergence of AI has been the center of attraction on the web since the release of the first GPT language models by OpenAI in November 2022. As a result, there’s been a growing interest within the tech community to explore the potential of generative AI technologies in web development.

In this course, join instructor Sandy Ludosky as she provides an introduction to generative AI and its many possible applications using the javascript language and its frameworks. Explore the core concepts of generative AI with practical, hands-on examples. Sandy shows you how to build an AI-powered chatbot with Node.js and then extend the chatbot’s capabilities by allowing it to call external APIs with function calling. By the end of this course, you’ll also be ready to build an AI-powered virtual assistant with the OpenAI Assistants API.

https://www.linkedin.com/learning/pytorch-essential-training-deep-learning-23753149

PyTorch is the most flexible and expressive library for deep learning, and offers simple Python API, GPU support, and flexibility. It’s designed to load data, apply transforms, and build deep learning models with just a few lines of code. Many machine learning developers and researchers use PyTorch to accelerate deep learning research, experimentation, and prototyping. In this course, software developer Terezija Semenski teaches you the important features of PyTorch with a hands-on approach to help you develop the skills you need to dive into your deep learning projects.

https://www.udemy.com/course/learn-to-create-a-competitive-shooter-in-unity-using-netick

https://www.udemy.com/course/openai-api-mastery/

https://www.udemy.com/course/chatgpt-for-devops/

https://www.udemy.com/course/how-to-use-chatgpt-and-openai-api-for-developers/

https://www.udemy.com/course/creating-a-breakout-game-using-unity-and-c-sharp/