AI-102 Azure AI Engineer Exam Prep

Topic 1 Prepare for AI engineering

• Define artificial intelligence
• Understand AI-related terms
• Understand considerations for AI Engineers
• Understand considerations for responsible AI
• Understand capabilities of Azure Machine Learning
• Understand capabilities of Azure Cognitive Services
• Understand capabilities of the Azure Bot Service
• Understand capabilities of Azure Cognitive Search

Topic 2 Provision and manage Azure Cognitive Services

• Create and consume Cognitive Services
• Secure Cognitive Services
• Monitor Cognitive Services
• Deploy cognitive services in containers

Topic 3 Process and translate text with Azure Cognitive Services

• Extract insights from text with the Language service
• Translate text with the Translator service

Topic 4 Process and Translate Speech with Azure Cognitive Speech Services

• Create speech-enabled apps with the Speech service
• Translate speech with the speech service

Topic 5 Create a Language Understanding solution with Azure Cognitive Services

• Build a Language Understanding model
• Publish and use a Language Understanding app

Topic 6: Build a question answering solution

• Understand question answering
• Compare question answering to language understanding
• Create a knowledge base
• Implement multi-turn conversation
• Test and publish a knowledge base
• Use a knowledge base
• Improve question answering performance
• Create a question answering bot

Topic 7 Build custom text analytics solutions

• Create custom text classification solutions
• Custom named entity recognition

Topic 8 Create conversational AI solutions

• Create a bot with the Bot Framework SDK
• Create a Bot with the Bot Framework Composer

Topic 9 Create computer vision solutions with Azure Cognitive Services

• Analyze images
• Analyze video
• Classify images
• Detect objects in images
• Detect, analyze, and recognize faces

Topic 10 Extract text from images and documents

• Read Text in Images and Documents with the Computer Vision Service
• Extract data from forms with Form Recognizer

Topic 11 Implement knowledge mining with Azure Cognitive Search

• Create an Azure Cognitive Search solution
• Create a custom skill for Azure Cognitive Search
• Create a knowledge store with Azure Cognitive Search
• Enrich a search index using Language Studio
• Implement advanced search features in Azure Cognitive Search
• Build an Azure Machine Learning custom skill for Azure Cognitive Search
• Search data outside the Azure platform in Azure Cognitive Search using Azure Data Factory
• Maintain an Azure Cognitive Search solution

Topic 12 Develop AI solutions with Azure OpenAI

• Get started with Azure OpenAI Service
• Build natural language solutions with Azure OpenAI Service
• Apply prompt engineering with Azure OpenAI Service

AI-100 Practice Exam

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Minimum Entry Requirement

Knowledge and Skills

• Able to operate using computer functions
• Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)

Attitude

• Positive Learning Attitude
• Enthusiastic Learner

Experience

• Minimum of 1 year of working experience.

Target Age Group: 18-65 years old

Minimum Software/Hardware Requirement

Software:

• Microsoft Azure Machine Learning account
  

Hardware: Window or Mac Laptops

• AI Developer
• Cloud Solutions Architect
• Data Scientist
• Machine Learning Engineer
• Azure AI Engineer
• Cloud Technical Specialist
• Data Analyst
• AI Solutions Architect
• Business Intelligence Developer
• IT Project Manager (focused on AI initiatives)
• DevOps Engineer (with AI integration)
• Software Developer (seeking AI capabilities)
• Technical Consultant (Azure-focused)
• Innovation Manager
• Cloud Product Manager

Dwight Nuwan Fonseka: Dwight Nuwan Fonseka is a ACLP certified trainer. He have a degree in Biotechnology from NUS, Advanced diploma in Pharmaceutical management from MDIS and Masters in Education from NTU. He have 8 years experience of teaching biology at O and A levels/ IB level in international schools in Singapore and overseas.

Sanjiv Venkatram: Sanjiv i is an ACTA certified experienced leader with a proven track record in business / finance consulting and in developing i) business intelligence (BI) solutions ii) data analytics/analysis solutions and iii) IOT lead BI solutions. Sanjiv's goal through Prudentia Consulting, is to promote the simple joy and excitement of actively using the Microsoft Platform. He believes that the agility afforded by the Microsoft platform helps businesses get time back for deeper business thinking and to spend more time with their end customers.

Sanjiv has rich experiences in diverse/complex high-tech businesses, turn around environments and strategic transformations. His functional expertise is in sales analytics, financial planning and analysis, engineering and program management. He has worked across discrete manufacturing, professional services and higher education verticals. He also has a working knowledge of equities portfolio management within the financial services domain.Sanjiv is the CEO of Prudentia Consulting, an organization committed to promoting the active usage of the Microsoft Platform. Prior to this, he has worked at Microsoft (US & APAC: 9.2 years), Cognizant Tech Solutions (3.3 years), Yazaki North America (8 years) and until recently at Oracle. Here are a few of his BI/analytics projects driven at scale: Built APAC wide BI dashboard using the Power BI umbrella tool set (Power BI online, Power BI desktop and Power Pivot) and a KPI lake (SQL DB), Helped develop key KPIs – identified key KPIs and helped land this in the DB, Developed a budget audit tool that captured budget inputs from a host of countries across the globe, Developed a business unit P&L reporting tool (functional architecture) in Business Objects for the world-wide financial planning and analysis team

Dr. Alfred Ang: Dr. Alfred Ang is ACE-certified developer, and ACTA-certified facilitator. As an experienced adult educator and lifelong learner, I am passionate about helping training providers, IHL, and CET centres develop high-quality Skills Framework-aligned WSQ and IBF curricula. At Tertiary Infotech Pte Ltd, I serve as the Founder, Managing Director and Chief Training Officer, overseeing a team of associate DACE/DDDPL certified curriculum developers and associate ACTA/ACLP facilitators who share my mission of upskilling people to stay relevant in today's rapidly changing world. In addition, I am GCWPL Certified Workplace Learning Consultant (from IAL), CAIEG Certified AI Ethics and Governance Professional (from NTU) , Microsoft Certified Power BI Data Analyst (PL-300), Power App Maker (PL-100), Data Scientist (DP-100) and AI Engineer Associate (AI-102).