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Course Details
Course Details
What You'll Learn
This course prepares you for the AI-300 certification exam, covering all official exam domains and their approximate weightings:
Domain 1 Design and implement an MLOps infrastructure (17.5%)
- Create and manage a Machine Learning workspace, datastores, and compute targets
- Configure identity and access management (IAM) for workspaces
- Create and manage data assets, environments, and components; share assets across workspaces via registries
- Deploy Machine Learning workspaces and resources by using Bicep and Azure CLI
- Automate resource provisioning with GitHub Actions workflows and restrict network access
- Manage source control for machine learning projects using Git
Domain 2 Implement machine learning model lifecycle and operations (27.5%)
- Configure experiment tracking with MLflow; use automated ML and notebooks for training/exploration
- Automate hyperparameter tuning and run model training scripts as jobs
- Implement training pipelines and manage distributed training for large/deep learning models
- Register MLflow models, package feature-retrieval specs, and evaluate models using responsible AI principles
- Deploy models as real-time or batch endpoints with managed inference; implement progressive rollout/safe rollback
- Monitor production models for data drift and performance, and configure retraining/alert triggers
Domain 3 Design and implement a GenAIOps infrastructure (22.5%)
- Create and configure Microsoft Foundry resources and project environments
- Configure identity/access management (managed identities, RBAC) and network security for Foundry
- Deploy infrastructure using Bicep templates and Azure CLI
- Deploy and manage foundation models via serverless API endpoints and managed compute; select appropriate models
- Configure provisioned throughput units for high-volume workloads and manage model versioning/deployment strategies
- Design, version, and manage prompts (variants, comparison) using Git-based source control
Domain 4 Implement generative AI quality assurance and observability (12.5%)
- Create test datasets and data mapping for comprehensive model evaluation
- Implement AI quality metrics, including groundedness, relevance, coherence, and fluency
- Configure risk and safety evaluations for harmful content detection
- Set up automated evaluation workflows using built-in and custom metrics
- Monitor performance metrics (latency, throughput, response times) and track cost/token consumption
- Configure detailed logging, tracing, and debugging for production troubleshooting
Domain 5 Optimize generative AI systems and model performance (12.5%)
- Optimize RAG retrieval performance by tuning similarity thresholds, chunk sizes, and retrieval strategies
- Select and fine-tune embedding models for domain-specific use cases
- Implement and optimize hybrid search combining semantic and keyword-based retrieval
- Evaluate/improve RAG system performance using relevance metrics and A/B testing
- Design and implement advanced fine-tuning methods, including synthetic data creation
- Manage a fine-tuned model from development through production deployment
Course Info
Prerequisite
This is a intermediate course. The following knowledge is asumed:
Software Requirement
Please install the following software prior to the class
1. Pycharm : - Install Pycharm (https://www.jetbrains.com/pycharm/download/)
2 . Install Pytorch
Please follow this guide to install Pytorch https://pytorch.org/get-started/locally/
Job Roles
Job Roles
- Data Scientist
- Azure Data Engineer
- Azure Solution Architect
- Machine Learning Engineer
- Cloud Data Scientist
- Data Analytics Manager
- Cloud Solution Consultant
- Azure DevOps Engineer
- AI Developer on Azure
- Data Science Consultant
- Cloud Infrastructure Specialist
- Big Data Engineer on Azure
- Data Platform Specialist
- Machine Learning Operations (MLOps) Engineer
- Cloud Application Developer
Trainers
Trainers
Dr. Alfred Ang is the founder of Tertiary Courses. He is a serial entrepreneur. He founded OSWeb2Design Singapore Pte Ltd in 2007 offering web development, e-commerce store development, graphics design, ebook publishing, mobile apps development, and digital marketing services. He established the first online gardening store in Singapore, Eco City Hydroponics Pte Ltd in 2000, offering a wide range of gardening products such as seeds, plant nutrients, hydroponics kits etc. Eco City Hydroponics has become the most popular and successful gardening store in Singapore. He founded Tertiary Infotech Pte Ltd in 2012 and transformed the business to a training platform, Tertiary Courses in 2014. Tertiary Courses offers a wide range of SkillsFuture courses for PMETs to upgrade their skills and knowledge. He also established Tertiary Courses Malaysia in 2016. He also founded Tertiary Robotics in 2015 offering Arduino, Raspberry Pi, Microbit and Robotics products
Dr. Alfred Ang earned his Ph.D. from National University of Singapore in 2000, majoring in Electrical and Electronics Engineering. He also completed an online MBA course with U21 Global based in Australia. He obtained his B.Sc (Hons) from National University of Singapore in 1992, majoring in Physics. He topped his Physics cohort for 3 consecutive years and funded his degree study with Book price, awards and tuition. He has worked in Defence, Electronics and Semiconductor Industries. His current interests include Machine Learning, Deep Learning, Artificial Intelligence, Internet of Things, Robotics and Programming.
Dr. Alfred Ang is a ACTA certified trainer and DACE certified course developer. He was Distinguished Toastmasters (DTM) and Senior Member of IEEE. He has published more than 20 peer reviewed papers and co-inventors for more than 20 inventions.
Marcel is a ACTA certified trainer. Here graduated with majors in Applied Mathematics and Physics from the National University of Singapore.His core specialisation skills are R, Python, Machine Learning, Statistical Analysis, and Data Visualisation in Tableau. His current interests include Machine Learning, Deep Learning, Artificial Intelligence, Internet of Things, Robotics and Programming.
Quah Chee Yong Chee Yong is an experienced professional who has held various Technical, Operations and Commercial positions across several industries A firm believer that AI can create a better world, he has equipped himself with the Knowledge and Skills in the fields of Data Science, Machine Learning, Deep Learning and Cloud Deployment He has a deep passion for training & facilitating and is currently a Singapore WSQ certified Adult Educator. He particularly enjoys the interactive engagements with his fellow trainers and learners
Truman Ng is a ACTA certified trainer that graduated with Bachelor Degree in Electrical Engineering from NUS in year 2002. He designed Artificial Intelligence (AI) controller for DC-DC Power Convertor by using Fuzzy Logic and Neural Network (NN) as his university Final Year Project.
Truman has over 15 years project experiences across Database & Web Design, PLC machinery, Data Center Design , Structure Cabling System(SCS) and Enterprise Network Design and Implementation. He used to be a network architect for Hewlett Packard, working with a group of virtual team from the US in handling network design and projects in the States.
Truman is the founder of Nexplore (S) Pte Ltd. He provides solutions of Cloud SaaS, IaaS & PaaS and Software Defined Network (SDN), VoIP and Internet Security. He was engaged by Huawei Global Training Center to provide 60+ consultations and trainings for Internet Service Providers(ISP) from Malaysia, Singapore, Brunei, Philippines, Australia, Poland, Iran, South Africa, Swaziland, Cote Dlvoire, Syria, Uzbekistan, New Zealand and countries over the world. As achievement, Truman has successfully completed 100+ IT network projects for Bank, Hotel and Factory within 5 years. Truman is certified in PMP, Cisco CCNP, CCIP, CCDP, HP Ase and Huawei HCNP, HCIE R&S, HCNA Cloud, HCNA Security, etc.
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