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AI-103 Microsoft Certified Azure AI Apps and Agents Developer Associate

Course Information

  • Sessions 2 days
  • Duration 15 hrs
  • Level Beginner
  • Assessment NA

Venue

Kuala Lumpur: G-3A-02, Suite Pejabat Korporat, KL Gateway, No 2, Jalan kerinchi, Gerbang kernichi Lestari, 59200 Kuala Lumpur, Malaysia
Penang: Jalan Sungai Dua, 11700 Penang, Malaysia.

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Certification

  • Certificate of Completion from Tertiary Courses - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Completion from Tertiary Courses.

AI-103 Microsoft Certified Azure AI Apps and Agents Developer Associate

Course Code: C926
  • HRDF

5 Review(s) | Add Your Review

What's This Course About

The AI-103 Microsoft Certified Azure AI Apps and Agents Developer Associate course equips learners with the knowledge and skills required to build, manage and deploy AI apps and agents on Azure using Microsoft Foundry. Participants will explore planning and managing Azure AI solutions, choosing the right models and Foundry services, and implementing generative AI and agentic solutions with retrieval-augmented generation, multi-agent orchestration and responsible AI.

Learners will gain hands-on expertise implementing computer vision, text analysis and information extraction solutions — from image and video generation and multimodal understanding to sentiment analysis, speech, translation, and OCR-based document extraction with Azure Content Understanding. Additionally, the course covers securing, monitoring and operationalizing AI systems with observability, guardrails and CI/CD. By completing this course, participants will be prepared to develop and operate production-grade AI apps and agents on Azure.

Funding and Grant Applications

No funding is available for this course

Bonus: Free Practice Exams

Get exam-ready on our Practice Exam Portal — train in realistic Practice Mode and timed Exam Mode, then retake them as many times as you like before the real exam.

Start Practising →

Course Fee

MYR2,800.00

Course Date

Course Time

Additional Note

Please bring your own laptop for hands-on training. If you don't have laptop, we can provide spare laptop for training use.

Disclaimer: The course dates displayed on our website are tentative and subject to trainer availability. We will confirm the final date after checking with the trainer. You are also welcome to email us your preferred date at sales@tertiarycourses.com.my, and we will do our best to coordinate with the trainer's schedule.

Post-Course Support

  • We may provide consultation related to the subject matter after the course.
  • Please email your queries to sales@tertiarycourses.com.my and we will forward your queries to the subject matter experts and get back to you as soon as possible.

Cancellation & Reschedule Policy

  • We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% to participants.
  • Note: the venue of the training is subject to changes due to class size and availability of the classroom. The minimum class size to start a class is 3 Pax.

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

Saeid is co-founder of Skymics Sdn Bhd. He has 8 years of experience in the field of IoT (Internet of Things) and Information Technology. He is a certified IBM IoT Practitioner and instructor, and a Certified Citizen Data Scientist Train-The-Trainer. He has been co-inventor of 3 inventions during the last 4 years.

Review

Customer Reviews (5)

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 16/03/2026)
Good course materials Review by Course Participant/Trainee
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 course materials and well-paced lessons. The exercises really helped me understand the topic. (Posted on 01/02/2025)
Knowledgeable trainer Review by Course Participant/Trainee
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
The course materials were detailed and easy to reference afterwards. Great value for money. (Posted on 11/12/2024)
Great learning experience Review by Course Participant/Trainee
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
The course materials were detailed and easy to reference afterwards. Great value for money. (Posted on 14/05/2024)
Highly recommended Review by Course Participant/Trainee
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 hands-on training with plenty of examples. I feel much more confident applying these skills now. (Posted on 09/03/2024)

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