Prompt Engineering | Sign Up | Go MARVELous | Promote

1) Train and evaluate deep learning models

Deep learning is an advanced form of machine learning that emulates the way the human brain learns through networks of connected neurons.

Learning objectives

In this module, you will learn:

• Basic principles of deep learning

• How to train a deep neural network (DNN) using PyTorch or Tensorflow

• How to train a convolutional neural network (CNN) using PyTorch or Tensorflow

• How to use transfer learning to train a convolutional neural network (CNN) with PyTorch or Tensorflow

Link: https://learn.microsoft.com/en-us/training/modules/train-evaluate-deep-learn-models/
Cost: Free
Time: 2 Hours 15 Minutes

2) Solution architect series: Explore Microsoft Copilot Studio

Increasingly, chatbots are becoming an important component of business applications. Solution architects need to understand the capabilities of Microsoft Copilot Studio when designing a Microsoft Power Platform solution. This module provides an in-depth description of Microsoft Copilot Studio and its capabilities.

Learning objectives

In this module, you will:

• Explore options for chatbots and how to choose where to start.

• Explore scenarios for chatbots.

• Learn about the components of Microsoft Copilot Studio.

Link: https://learn.microsoft.com/en-us/training/modules/architect-power-virtual-agents/
Cost: Free
Time: 45 Minutes

3) Preprocess large datasets with Azure Machine Learning

Choose GPU compute in Azure Machine Learning when training compute-intensive models. To reduce the time needed to process the data, store your data efficiently and use a data manipulation library compatible with GPU compute.

Learning objectives

In this module, you'll learn how to:

• Know when to choose CPU or GPU compute in Azure Machine Learning.

• Efficiently store data in an Azure Data Lake Storage Gen2.

• Optimize data loading and preprocessing.

Link: https://learn.microsoft.com/en-us/training/modules/preprocesses-large-datasets-azure-machine-learning/
Cost: Free
Time: 35 Minutes

4) Train compute-intensive models with Azure Machine Learning

Train compute-intensive models with GPU compute in Azure Machine Learning. By monitoring workloads, you can find the optimal compute configuration. Distributed training allows you to train on multiple nodes to speed up training time.

Learning objectives

In this module, you'll learn:

• How to train a model with GPUs in Azure Machine Learning.

• When to use which GPU option.

• How to distribute model training.

Link: https://learn.microsoft.com/en-us/training/modules/train-compute-azure-machine-learning/
Cost: Free
Time: 35 Minutes

5) Deploy deep learning workloads to production with Azure Machine Learning

Deploying large-scale models for real-time inferencing is challenging because of the model's size. Learn what you can do and which frameworks you can use to optimize your model's performance during model scoring.

Learning objectives

In this module, you'll learn:

• To choose the appropriate inference strategy

• To optimize model scoring with ONNX

• To deploy Triton as a managed online endpoint

Link: https://learn.microsoft.com/en-us/training/modules/deploy-deep-learning-workloads-to-production-azure-machine-learning/
Cost: Free
Time: 40 Minutes

Bonus: Solution Architect series: Evaluate Power Platform analytics and AI

A solution architect for Microsoft Power Platform evaluates the needs for reporting and then identifies the best approach. This module examines the available reporting and analytics options for Power Platform.

Learning objectives

In this module, you will:

• Discover the planning and evaluating requirements.

• Learn about operational reporting.

• Review the capabilities of Microsoft Power BI and how to use it with Power Platform components.

• Learn how to use pre-built insights and custom AI.

Link: https://learn.microsoft.com/en-us/training/modules/architect-analytics/
Cost: Free
Time: 40 Minutes

For Beginners:

10 FREE Courses on AI with Microsoft for Beginners in 2024

For Imtermediate Learners:

10 FREE Intermediate Courses on AI and Generative AI with Microsoft in 2024

PROMOTE WITH US!

Promote With The AI Marvel and get your Product in front of 1000’s of AI and Tech Marvels. Our Newsletter is read every day by top Engineers, Professionals, Researchers, Developers, etc. from top companies all over the world.

If you’re interested in Promoting with us? Connect With Us Here

REVIEWS