AI-900: Microsoft Azure AI Fundamentals in a Weekend
- Descripción
- Currículum
- Reseñas
I’m here to help you pass the AI-900 Azure AI Fundamentals certification exam!
Do you think learning Artificial Intelligence and Machine Learning is DIFFICULT? What if I can prove you WRONG?
Learn AI and ML Fundamentals in a WEEKEND!
Take your FIRST STEPS into the amazing world of Artificial Intelligence and Machine Learning using a HANDS-ON step by step approach.
BEGINNERS to cloud, Azure, AI and ML are WELCOME!
WHAT LEARNERS ARE SAYING
5 STARS – The course is amazing, just direct to the point
5 STARS – Good course to quickly clear the certification exam.
5 STARS – Another superb course from In28Minutes!
5 STARS – Right to the point and provided short notes were amazing.
6 Things YOU need to know about this AI–900 Course
#1: HANDS-ON – The best way to learn Azure AI Fundamentals is to get your hands dirty!
#2: Designed for ABSOLUTE BEGINNERS to Azure
#3: MULTI-CLOUD INSTRUCTOR – MORE THAN 100,000 Learners are learning AWS, Azure, and Google Cloud with us
#4: COMPLETE PREP for Azure Certification – AI-900 – Microsoft Azure AI Fundamentals
#5: FREE Downloadable PDF – Quickly Review for the exam
#6: FREE Practice Test – Test if you are ready for the exam
Artificial Intelligence (AI) will revolutionize how we do things in the next decade. Cloud is making AI easy! This course is a wonderful introduction to the world of Cloud and Artificial Intelligence. AI-900 Azure AI Fundamentals validates foundational knowledge of machine learning and artificial intelligence concepts and related Microsoft Azure services.
AI-900 Azure AI Fundamentals helps you demonstrate knowledge of:
-
AI workloads and considerations
-
Fundamental principles of machine learning on Azure
-
Features of computer vision workloads on Azure
-
Features of Natural Language Processing (NLP) workloads on Azure
-
Features of conversational AI workloads on Azure.
Skills measured in AI-900 Azure AI Fundamentals
-
Describe AI workloads and considerations
-
Describe fundamental principles of machine learning on Azure
-
Describe features of computer vision workloads on Azure
-
Describe features of Natural Language Processing (NLP) workloads on Azure
-
Describe features of conversational AI workloads on Azure
Are you ready to get started on the amazing journey to achieve Azure Certification – AI-900 – Microsoft Azure AI Fundamentals?
Do you want to join 750,000+ learners having Amazing Learning Experiences with in28Minutes?
Look No Further!
-
3Step 01 - Introduction to Artificial Intelligence & Machine LearningVideo lesson
-
4Step 02 - Exploring Machine Learning ExamplesVideo lesson
-
5Step 03 - Exploring Machine Learning vs Traditional ProgrammingVideo lesson
-
6Step 04 - Machine Learning Fundamentals - ScenariosVideo lesson
-
7Section QuizCuestionario
-
8Step 01 - Exploring Pre Trained Models - Cognitive ServicesVideo lesson
-
9Step 02 - Exploring Vision Related APIsVideo lesson
-
10Step 03 - Exploring Vision - Some TerminologyVideo lesson
-
11Step 04 - Getting started with Computer Vision APIVideo lesson
-
12Creating Azure AccountVideo lesson
-
13Step 05 - Demo - Creating Cognitive Services Multi Service AccountVideo lesson
-
14Step 06 - Demo - Playing with Computer Vision APIVideo lesson
-
15Do you want to help us?Text lesson
-
16Step 07 - Understanding Computer Vision API - OCR OperationsVideo lesson
-
17Step 08 - Getting Started with Face APIVideo lesson
-
18Step 09 - Exploring Form Recognizer APIVideo lesson
-
19Step 10 - Cognitive Services - Vision - ScenariosVideo lesson
-
20Step 11 - Getting Started - Cognitive Services - Natural Language ProcessingVideo lesson
-
21Step 12 - Exploring Text Analytics APIVideo lesson
-
22Step 13 - Exploring Translator and Speech APIVideo lesson
-
23Step 14 - Getting Started with Conversational AIVideo lesson
-
24Step 15 - Demo - Playing with QnA Maker - 1 - Getting StartedVideo lesson
-
25Step 16 - Demo - Playing with QnA Maker - 2 - Setting up Knowledge BaseVideo lesson
-
26Step 17 - Demo - Playing with Azure Bot ServiceVideo lesson
-
27Step 18 - Exploring LUIS/ Language Understanding Intelligent ServiceVideo lesson
-
28Step 19 - Cognitive Services - NLP - ScenariosVideo lesson
-
29Step 20 - Understanding Decision Services/ Make smarter decisionsVideo lesson
-
30Step 21 - Cognitive Services - Decision Services and OthersVideo lesson
-
31Step 22 - Cognitive Services - A Quick ReviewVideo lesson
-
32Section QuizCuestionario
-
33Course Downloads - Custom Vision - ImagesText lesson
-
34Step 01 - Building ML Models - Custom Vision - 1Video lesson
-
35Step 02 - Building ML Models - Custom Vision - 2Video lesson
-
36Step 03 - Creating ML Models - Features and LabelsVideo lesson
-
37Step 04 - Creating ML Models - Choosing TechniqueVideo lesson
-
38Step 05 - Machine Learning Fundamentals - ScenariosVideo lesson
-
39Step 06 - Creating Machine Learning Models - StepsVideo lesson
-
40Step 07 - Understanding Machine Learning TerminologyVideo lesson
-
41Step 08 - ML Stages and Terminology - ScenariosVideo lesson
-
42Do you want to help us?Text lesson
-
43Step 09 - Getting Started with Azure Machine LearningVideo lesson
-
44Step 10 - Demo - Automated Machine Learning - Dataset and ComputeVideo lesson
-
45Step 11 - Demo - Setting up Automated ML TrainingVideo lesson
-
46Step 12 - Demo - Exploring Automated ML TrainingVideo lesson
-
47Step 13 - Demo - Creating Azure Machine Learning PipelineVideo lesson
-
48Step 14 - Demo - Model Evaluation - Regression ModelsVideo lesson
-
49Step 15 - Model Evaluation - Classification ModelsVideo lesson
-
50Step 16 - ML Model Evaluation - ScenariosVideo lesson
-
51Step 17 - Azure Machine Learning - TerminologyVideo lesson
-
52Step 18 - Building Custom ML Models in Azure - ScenariosVideo lesson
-
53Section QuizCuestionario
