Access a wide range of tutorials on various topics, including technology, design, business, and more. Whether you're a beginner or an expert, find the perfect tutorial to help you improve your skills and achieve your goals.

Linkedin – MLOps with Databricks

Author: Baturi | 07 January 2025 |

: 0

Free Download Linkedin – MLOps with Databricks

Released: 12/2024
Duration: 1h 9m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 166 MB
Level: Intermediate | Genre: eLearning | Language: English
In this course, MLOps expert Maria Vechtomova introduces the components and principles that you must understand to successfully deploy machine learning models to production on Databricks. Dive into the step-by-step process of using Feature Engineering in Unity Catalog, tracking model experiments in mlflow, registering a model in Unity Catalog, and deploying your model using Databricks model serving. Explore the use cases where Feature Serving can be used and find out how to deploy a Feature Serving endpoint. Plus, learn how to package your code, deploy your project using Databricks Asset Bundles, and monitor your ML application using inference tables and Lakehouse monitoring.

Tutorials :

Linkedin – Learning Amazon SageMaker AI (2024)

Author: Baturi | 07 January 2025 |

: 0

Free Download Linkedin – Learning Amazon SageMaker AI (2024)

Released: 12/2024
Duration: 1h 41m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 258 MB
Level: Intermediate | Genre: eLearning | Language: English
Amazon SageMaker is a solution for developers who want to deploy predictive machine learning models into a production environment. This course teaches you how to set up and configure SageMaker environments, prepare and preprocess datasets, and build, train, and deploy machine learning models using SageMaker's built-in algorithms. Instructor Kesha Williams guides you through evaluating and optimizing model performance, including hyperparameter tuning and performance monitoring, to ensure your models deliver the best results. Additionally, learn best practices for managing costs, implementing security measures, and operationalizing models with MLOps. Whether new to machine learning or looking to expand your AWS skills, this course will provide the hands-on experience and practical knowledge to use Amazon SageMaker in your projects effectively.

Tutorials :

Linkedin – Learning AI for Business Analysis (2024)

Author: Baturi | 07 January 2025 |

: 0

Free Download Linkedin – Learning AI for Business Analysis (2024)

Released: 12/2024
Duration: 1h 38m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 290 MB
Level: Beginner + Intermediate | Genre: eLearning | Language: English
More and more organizations are making investments in digital technologies such as artificial intelligence, machine learning, and robotics. These new technologies have sparked changes to business models, business operations, and customer expectations and experiences. This course was designed to help business analysts and project professionals grasp what these changes mean and how to implement them from a business perspective. Join instructor Angela Wick as she explores natural language generation, speech recognition, swarm intelligence, blockchain, and other exciting new technologies, laying out how each one can fit into your business processes. Plus, she covers how these innovations can impact traditional business analysis practices and explains how the customer journey is affected by digital and AI projects.

Tutorials :

Linkedin – LLMOps in Practice A Deep Dive

Author: Baturi | 07 January 2025 |

: 0

Free Download Linkedin – LLMOps in Practice A Deep Dive

Released: 12/2024
Duration: 4h 26m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 738 MB
Level: Intermediate | Genre: eLearning | Language: English
As LLM-based apps proliferate, many function as thin veneers around more robust models such as GPT. In this course, instructor Laurence Moroney demonstrates the basics of building your own LLM-powered app and controlling how it works from the back end. Get an introduction to some of the basic use cases of LLMs in application development. Basic knowledge of Python, Node.js, and LLMs is required. By the end of this course, you'll be prepared to create an ops ecosystem whose core functionality is based on an LLM.

Tutorials :