Machine Learning Models Courses and Certifications

Choosing the Appropriate Microsoft Azure Services and Features

34 ratings at Pluralsight

This course will set the scene for understanding the different Azure services which are available to enable and support AI solutions and how to map business requirements in order to arrive at the right recommendations for your data teams.

• Pluralsight
• 2-3 hours
• On-Demand
• Free Trial Available

Leveraging Online Resources for Python Analytics

23 ratings at Pluralsight

This course introduces important resources for data science, including visualization libraries, deep learning frameworks, and cloud-based environments. It also explores BigML and Google Colab—powerful resources for building and sharing analytics.

• Pluralsight
• 2 hours 12 minutes
• On-Demand
• Free Trial Available

Building Features from Numeric Data

19 ratings at Pluralsight

Learn to preprocess numeric data for machine learning using scikit-learn, covering normalization, scaling, outlier handling, and advanced transformations to optimize model performance and efficiency.

• Pluralsight
• 2-3 hours
• On-Demand
• Free Trial Available

Identifying Security Requirements of an AI Solution

12 ratings at Pluralsight

In this course, you will walk through the services used to create an AI solution in Azure and the requirements to secure the solution, including data security and deployment security of Machine Learning models and Cognitive Services.

• Pluralsight
• 1-2 hours
• On-Demand
• Free Trial Available

TensorFlow Developer Certificate - TensorFlow Developer Skills

11 ratings at Pluralsight

Learn essential TensorFlow developer skills: Python programming, API exploration, ML model creation, debugging, and version compatibility. Gain practical knowledge for the TensorFlow Developer Certificate.

• Pluralsight
• 1 hour 29 minutes
• On-Demand
• Free Trial Available

IoT Edge Computing: Introduction to AWS Greengrass

This course is an introduction to AWS Greengrass, which lets you run local compute, messaging, data caching, and sync capabilities for connected devices in a secure way.

• Pluralsight
• On-Demand
• Free Trial Available

AWS Foundations: Machine Learning Basics

In this course, you get an overview of the concepts, terminology, and processes of the exciting field of machine learning!

• Pluralsight
• On-Demand
• Free Trial Available

Connecting IoT Devices and AWS with Amazon Greengrass

If you have ever been interested in learning about AWS IoT services and how they work, then this course, created with real, teachable use cases in mind, is for you.

• Pluralsight
• 2-3 hours
• On-Demand
• Free Trial Available

David Shapiro ~ AI

Stress Testing Qdrant - Semantic Search with 90,000 Vectors - Lightning Fast Search Microservice

Explore stress testing Qdrant for semantic search with 90,000 vectors. Learn to set up TensorFlow, generate data, and evaluate search efficiency in this hands-on tutorial.

• YouTube
• 35 minutes
• On-Demand
• Free Video

David Shapiro ~ AI

Starting on the Conductor Microservice

Explore the development of a conductor microservice for AI systems, focusing on task prioritization, alignment, and creating a symphony of thought in artificial cognitive entities.

• YouTube
• 29 minutes
• On-Demand
• Free Video

tinyML

1 kB and Not a Bit More - The Ideal Weight for a TinyML Model

Explore automated creation of ultra-compact ML models for tiny smart devices, enabling efficient embedding in memory-constrained hardware without data science expertise.

• YouTube
• 35 minutes
• On-Demand
• Free Video

Edan Meyer

Reinforcement Learning in RTS Games

Explore reinforcement learning in RTS games, examining recent breakthroughs and key factors driving success in AI models like OpenAI Five and AlphaStar.

• YouTube
• 23 minutes
• On-Demand
• Free Video

DP-100 Part 2 - Modeling

Learn how to run experiments and train models as you prepare for Exam DP-100: Designing and Implementing a Data Science Solution on Azure. Start a Free Trial.

• A Cloud Guru
• 8 hours
• On-Demand
• Free Trial Available

Java

Code Reflection

Explore Java's proposed code reflection enhancement for symbolic access, analysis, and transformation of programs in specialized domains like SQL, machine learning, and GPU kernels.

• YouTube
• 42 minutes
• On-Demand
• Conference Talk

Data Science Dojo

Time Series Analysis with the KNIME Analytics Platform - Preprocessing, Alignment, Imputation

Learn time series analysis using KNIME: preprocessing, alignment, imputation, forecasting, and evaluation. Build a demand prediction application with (S)ARIMA and machine learning models through hands-on, codeless examples.

• YouTube
• 1 hour
• On-Demand
• Free Video