AI-900 Microsoft Azure AI Fundamentals

Opi Microsoft Azure AI Fundamentals tässä itseopiskelua ja online coachausta yhdistelevässä tehokkaassa valmennuksessa. Sopii erinomaisesti työn ohessa suoritettavaksi. Saat Learning Coachin henkilökohtaisen ohjauksen ja hänen suunnitteleman opintopolun avuksesi. Tällä valmennuksella aidon oppimisen ja sertifioitumisen takuu lähes 100%, mikäli olet motivoitunut itseopiskeluun.

Tavoite

Valmennuksessa käydään läpi millaisia AI ja Machine Learning -palveluita Azure tarjoaa kehittäjille.

Kenelle

Kurssi soveltuu niin kehittäjille ja arkkitehdeille yleiskatsauksen saamiseen, että myös kaikille joita Azure AI-palvelut kiinnostavat.

Lisätiedot

Ohjelma valmentaa Microsoftin viralliseen AI-900 Microsoft Azure AI Fundamentals -sertifiointitestiin.

Valmennuksen sisältö

Microsoft Fundamentals Coaching -ohjelman sisältö:

• Asiantuntijoiden fasilitoimat videotallenteet suomeksi, jaoteltuina moduuleittain.
• Learning Coachin tuki
• Kerran viikossa Learning Coachin online-aamukahvit.
• Noin tunnin kestoisia virtuaalitapaamisia Learning Coachin johdolla. Aiheina ovat mm.

1. 1. Kick Off ja opintoihin orientoituminen
   2. Opiskelun parhaat käytännöt
   3. Labra-workshop
   4. Sertifiointiin valmistautuminen
   5. Palauteyhteenveto ja jatkosuunnitelmat

• Identify features of content moderation and personalization workloads
• Identify computer vision workloads
• Identify natural language processing workloads
• Identify knowledge mining workloads
• Identify document intelligence workloads
• Identify features of generative AI workloads

• Describe considerations for fairness in an AI solution
• Describe considerations for reliability and safety in an AI solution
• Describe considerations for privacy and security in an AI solution
• Describe considerations for inclusiveness in an AI solution
• Describe considerations for transparency in an AI solution
• Describe considerations for accountability in an AI solution

• Identify regression machine learning scenarios
• Identify classification machine learning scenarios
• Identify clustering machine learning scenarios
• Identify features of deep learning techniques

• Identify features and labels in a dataset for machine learning
• Describe how training and validation datasets are used in machine learning

• Describe capabilities of automated machine learning
• Describe data and compute services for data science and machine learning
• Describe model management and deployment capabilities in Azure Machine Learning

• Identify features of image classification solutions
• Identify features of object detection solutions
• Identify features of optical character recognition solutions
• Identify features of facial detection and facial analysis solutions

• Describe capabilities of the Azure AI Vision service
• Describe capabilities of the Azure AI Face detection service

• Identify features and uses for key phrase extraction
• Identify features and uses for entity recognition
• Identify features and uses for sentiment analysis
• Identify features and uses for language modeling
• Identify features and uses for speech recognition and synthesis
• Identify features and uses for translation

• Describe capabilities of the Azure AI Language service
• Describe capabilities of the Azure AI Speech service

• Identify features of generative AI models
• Identify common scenarios for generative AI
• Identify responsible AI considerations for generative AI

• Describe natural language generation capabilities of Azure OpenAI Service
• Describe code generation capabilities of Azure OpenAI Service
• Describe image generation capabilities of Azure OpenAI Service

Avainsanat

Microsoft, Fundamentals, Azure, AI,Learning Coach, Machine Learning, Computer Vision