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Course Details
Course Details
What You'll Learn
This course prepares you for the AI-103 certification exam, covering all official skills measured and their approximate weightings:
Domain 1 Plan and manage an Azure AI solution (25-30%)
- Choose appropriate models (LLMs, small and multimodal models) and Foundry services for generative tasks, grounding, vector search, agent workflows and multimodal processing
- Choose retrieval and indexing methods and memory, tool and knowledge integration services for agents
- Design Azure infrastructure, choose deployment options, configure model and agent deployments, and integrate Foundry projects with CI/CD pipelines
- Manage quotas, scaling, rate limits and cost, and monitor model performance, drift, safety events and grounding quality
- Configure security including managed identity, private networking, keyless credentials and role policies
- Implement responsible AI: safety filters, guardrails, content moderation, evaluators, audit trace logging and agent oversight controls
Domain 2 Implement generative AI and agentic solutions (30-35%)
- Deploy and consume LLMs, small, code and multimodal models, and implement retrieval-augmented generation (RAG)
- Design tool-augmented flows and multistep reasoning pipelines, and evaluate models and apps for fabrications, relevance, quality and safety
- Integrate generative workflows using Foundry SDKs and connectors, and connect an application to a Foundry project
- Define agent roles, goals and tool schemas, and build agents integrating retrieval, function-calling and conversation memory
- Implement orchestrated multi-agent solutions and autonomous workflows with safeguards and approval controls
- Optimize with prompt engineering, model parameters, reflection and self-critique loops, and set up observability with tracing, token analytics and safety signals
Domain 3 Implement computer vision solutions (10-15%)
- Generate images and videos from text prompts and reference media, and configure image and video editing workflows
- Build multimodal understanding: analyze visual context, produce captions, and enable question-answering grounded in visual evidence
- Generate accessible alt-text and image descriptions, and extract visual characteristics with Azure Content Understanding in Foundry Tools
- Implement video analysis and identify objects, components or regions within images and video
- Implement responsible AI for multimodal content: filter unsafe visuals, detect indirect prompt injection in images, and enforce visual policy rules
Domain 4 Implement text analysis solutions (10-15%)
- Extract entities, topics, summaries and structured JSON using generative prompting and Foundry Tools
- Configure detection of sentiment, tone, safety issues and sensitive content
- Translate text using Azure Translator in Foundry Tools or LLM-powered translation flows
- Customize language model outputs for domain tasks such as compliance summarization and domain extraction
- Implement speech-to-text and text-to-speech, custom speech models, multimodal reasoning from audio, and speech translation
Domain 5 Implement information extraction solutions (10-15%)
- Ingest and index documents, images, audio and video, and configure semantic, hybrid and vector search for grounding
- Implement enrichment skills and configure RAG ingestion flow including optical character recognition (OCR)
- Connect retrieval pipelines directly to workflows and agent tools
- Extract information using multimodal pipelines combining OCR, layout analysis and field extraction
- Produce clean, grounded representations and structured or markdown outputs with Content Understanding
Course Info
Promotion Code
Your will get 10% discount voucher for 2nd course onwards if you write us a Google review.
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:
Hardware: Window or Mac Laptops
Job Roles
Job Roles
- 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
Trainers
Trainers
is an accomplished IT and data specialist with over 20 years of experience in academia, ICT leadership, and professional training, with a strong focus on data analytics and Excel-based solutions. He has developed and delivered specialized training programs on Statistical Data Analysis with Excel and Visual Basic for Applications (VBA) for Excel, equipping learners with advanced data manipulation, automation, and reporting skills. His expertise extends to automating institutional reporting systems, where he successfully streamlined academic records management through Excel-based tools, integrating macros and automation to improve efficiency and accuracy. As a trainer and consultant, Dr. Siraj has taught Excel to diverse audiences, including university staff, administrative teams, and professionals in banking, security, and education, ensuring they can apply Excel for decision-making, statistical modeling, and process automation. His practical mastery of Excel is complemented by his deep knowledge of office automation and ICT project management, making him a highly sought-after trainer in data analysis and productivity tools. With his blend of hands-on technical expertise and instructional experience, Dr. Siraj stands out as a credible authority in leveraging Excel to drive organizational efficiency and data-driven strategies
Review
Customer Reviews (5)
- Highly recommended Review by Course Participant/Trainee
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Good hands-on training with plenty of examples. I feel much more confident applying these skills now. (Posted on 12/20/2025)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - Good course materials Review by Course Participant/Trainee
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Great course materials and well-paced lessons. The exercises really helped me understand the topic. (Posted on 10/27/2025)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - Knowledgeable trainer Review by Course Participant/Trainee
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The course materials were detailed and easy to reference afterwards. Great value for money. (Posted on 10/9/2025)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - Great learning experience Review by Course Participant/Trainee
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The course materials were detailed and easy to reference afterwards. Great value for money. (Posted on 9/16/2024)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - Very useful course Review by Course Participant/Trainee
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Well organised course with clear objectives. The step-by-step approach made it easy to follow. (Posted on 1/17/2024)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment
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