Artificial Intelligence
Explore all library
Certification Prep
97 to 120 of 268 results
Search results 97 - 120 of 268Category: Artificial Intelligence
- COURSEMichael Burgess
Module 2 - Maths for Machine Learning - Part OneBeginnerDuration: 1 hour and 45 minutesAuthor: Michael Burgess; Difficulty: Beginner; Duration: 1 hour and 45 minutes; Content Topics: Machine Learning; This course has: 10 Units - COURSEMichael BurgessModule 1 – Python for Machine LearningBeginnerDuration: 52 minutes and 2 secondsAuthor: Michael Burgess; Difficulty: Beginner; Duration: 52 minutes and 2 seconds; Content Topics: Machine Learning; This course has: 4 Units
- COURSEMichael BurgessModule 2 - Maths for Machine Learning - Part TwoBeginnerDuration: 1 hour and 32 minutesAuthor: Michael Burgess; Difficulty: Beginner; Duration: 1 hour and 32 minutes; Content Topics: Machine Learning; This course has: 8 Units
- COURSEMichael BurgessModule 0 - What is Machine Learning? - Part TwoBeginnerDuration: 1 hour and 30 minutesAuthor: Michael Burgess; Difficulty: Beginner; Duration: 1 hour and 30 minutes; Content Topics: Machine Learning; This course has: 7 Units
- COURSEMichael BurgessModule 3 - Supervised Learning - Part TwoBeginnerDuration: 1 hour and 52 minutesAuthor: Michael Burgess; Difficulty: Beginner; Duration: 1 hour and 52 minutes; Content Topics: Machine Learning; This course has: 10 Units
- LEARNING PATHFrancesco Mosconi
Zero to Deep Learning Bootcamp Three - Working with Convolutional and Recurrent Neural NetworksAdvancedDuration: Up to 3 hours and 36 minutesAuthor: Francesco Mosconi; Difficulty: Advanced; Description: This Course is the third and final of three Courses in the Zero to Deep Learning Bootcamp Cloud Academy has developed in collaboration with Deep L; Duration: Up to 3 hours and 36 minutes; Content Topics: Machine Learning; This learning path has: 3 Courses, 1 Exam - LEARNING PATHAndrew Burchill
Solving Real World Problems with Regular Expressions in PythonBeginnerDuration: Up to 2 hours and 50 minutesAuthor: Andrew Burchill; Difficulty: Beginner; Description: This course is made up entirely of hands-on labs to help you master regular expressions in Python!; Duration: Up to 2 hours and 50 minutes; Content Topics: Development; This learning path has: 1 Lab challenge, 3 Hands-on labs - COURSEFarish Kashefinejad
Workflow Essentials of AIBeginnerDuration: 10 minutes and 28 secondsAuthor: Farish Kashefinejad; Difficulty: Beginner; Duration: 10 minutes and 28 seconds; Content Topics: Artificial Intelligence; This course has: 3 Units - COURSELee Mucciarone
Working with Microsoft 365 Copilot in OutlookIntermediateDuration: 11 minutes and 20 secondsAuthor: Lee Mucciarone; Difficulty: Intermediate; Duration: 11 minutes and 20 seconds; Content Topics: Business Suites, Artificial Intelligence; This course has: 1 Unit - COURSEAlana Layton
Amazon Q for Builders and DevelopersIntermediateDuration: 34 minutes and 30 secondsAuthor: Alana Layton; Difficulty: Intermediate; Duration: 34 minutes and 30 seconds; Content Topics: Artificial Intelligence; This course has: 8 Units - COURSEThomas Mitchell
Deploying an Azure OpenAI SolutionIntermediateDuration: 10 minutes and 58 secondsAuthor: Thomas Mitchell; Difficulty: Intermediate; Duration: 10 minutes and 58 seconds; Content Topics: Microsoft Azure; This course has: 5 Units - COURSEBen Lambert
Developing With GitHub CopilotIntermediateDuration: 35 minutes and 15 secondsAuthor: Ben Lambert; Difficulty: Intermediate; Duration: 35 minutes and 15 seconds; Content Topics: DevOps; This course has: 5 Units - COURSEBen LambertIntroduction To Large Language ModelsBeginnerDuration: 25 minutes and 32 secondsAuthor: Ben Lambert; Difficulty: Beginner; Duration: 25 minutes and 32 seconds; Content Topics: Data Modeling; This course has: 4 Units
- COURSEHallam Webber
Introduction to AI Copilot in Microsoft Power AppsBeginnerDuration: 19 minutes and 53 secondsAuthor: Hallam Webber; Difficulty: Beginner; Duration: 19 minutes and 53 seconds; Content Topics: Development, Artificial Intelligence; This course has: 6 Units - COURSEStuart Scott
Using Amazon Comprehend to Gain Valuable Insights from TextIntermediateDuration: 19 minutes and 57 secondsAuthor: Stuart Scott; Difficulty: Intermediate; Duration: 19 minutes and 57 seconds; Content Topics: Amazon Web Services; This course has: 5 Units - COURSEEmilio Melo
Adding Language Understanding to Chatbots With LUISIntermediateDuration: 47 minutes and 32 secondsAuthor: Emilio Melo; Difficulty: Intermediate; Duration: 47 minutes and 32 seconds; Content Topics: Artificial Intelligence; This course has: 9 Units - COURSEAndrew Larkin
What is a Data Engineer, What Skills Do You Need, and is the Data Engineer Role Right For You?BeginnerDuration: 16 minutes and 18 secondsAuthor: Andrew Larkin; Difficulty: Beginner; Duration: 16 minutes and 18 seconds; This course has: 7 Units - COURSEEd Wright
TypeScript - GenericsIntermediateDuration: 11 minutes and 5 secondsAuthor: Ed Wright; Difficulty: Intermediate; Duration: 11 minutes and 5 seconds; Content Topics: Development; This course has: 4 Units - LEARNING PATHCalculated Systems
Getting Started with Machine Learning ModelsIntermediateDuration: Up to 7 hours and 42 minutesAuthor: Calculated Systems; Difficulty: Intermediate; Description: Learn the basics of machine learning models and how to use models to extract results.; Duration: Up to 7 hours and 42 minutes; Content Topics: Amazon Web Services; This learning path has: 2 Courses, 1 Exam, 5 Hands-on labs - HANDS-ON LABCalculated SystemsHandling Missing DataIntermediateDuration: Up to 1 hourAuthor: Calculated Systems; Difficulty: Intermediate; Description: This lab will walk you through a number of ways to handle missing data including using a default value and building a model to predict the missing data.; Duration: Up to 1 hour; Content Topics: Machine Learning; This hands-on lab has: 4 Lab steps
- HANDS-ON LABLogan Rakai
Applied OpenAI Prompt EngineeringIntermediateDuration: Up to 30 minutesAuthor: Logan Rakai; Difficulty: Intermediate; Description: Apply prompt engineering to develop a content categorization system in this lab.; Duration: Up to 30 minutes; Content Topics: Development, Artificial Intelligence; This hands-on lab has: 1 Lab step - HANDS-ON LABAndrew BurchillCombining and Enriching Data with Amazon Managed Workflows for Apache AirflowIntermediateDuration: Up to 2 hoursAuthor: Andrew Burchill; Difficulty: Intermediate; Description: Learn about Amazon Managed Workflows for Apache Airflow in this hands-on lab as you create a Directed Acyclic Graph in Apache Airflow.; Duration: Up to 2 hours; Content Topics: Amazon Web Services; This hands-on lab has: 5 Lab steps
- HANDS-ON LABAndrea Giussani
PySpark - How to build a Machine Learning PipelineBeginnerDuration: Up to 1 hourAuthor: Andrea Giussani; Difficulty: Beginner; Description: In this hands-on lab, you will master your knowledge of PySpark, a very popular Python library for big data analysis and modeling.; Duration: Up to 1 hour; Content Topics: Machine Learning; This hands-on lab has: 2 Lab steps - HANDS-ON LABAndrea GiussaniPySpark - PreprocessingBeginnerDuration: Up to 1 hourAuthor: Andrea Giussani; Difficulty: Beginner; Description: In this lab, you will learn how to create a dataset using the PySpark library, and to manipulate it using standard filtering and slicing techniques.; Duration: Up to 1 hour; Content Topics: Development; This hands-on lab has: 2 Lab steps