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AI-102 is a 5-day, live instructor-led course that equips your engineering team to design, build, and deploy AI solutions using Azure AI services — from computer vision and natural language processing to knowledge mining and generative AI. Delivered by Microsoft Certified Trainers with hands-on labs in real Azure environments, your team builds working solutions, not just theoretical knowledge.
No commitment • Free 30-min call • Microsoft Certified Trainers
You've invested in Azure AI services, but your engineers are still stitching together Stack Overflow snippets instead of building production-grade AI solutions. The gap between knowing what AI can do and actually building it is costing you time, quality, and competitive advantage.
Your team can demo AI capabilities in a sandbox, but moving from prototype to production is a different challenge entirely. Without structured knowledge of Azure AI services, security patterns, and deployment best practices, promising projects stall before they deliver business value.
Azure AI has dozens of services across vision, language, speech, and search. Your developers are spending more time reading documentation than writing code — because they don't know which service to use, how to integrate it, or how to handle it at scale.
Every developer on your team builds AI features differently. There's no consistent architecture, no shared patterns for error handling or monitoring, and no standardised approach to responsible AI. The result: fragile solutions and mounting technical debt.
AI-102 is built for technical professionals who will design, build, and deploy AI solutions. Familiarity with C# or Python and REST-based APIs is required.
Build AI-powered features into your applications using Azure AI services, SDKs, and REST APIs. Learn production patterns for computer vision, NLP, and generative AI integration.
Expand your toolkit beyond custom models. Learn how to leverage Azure's managed AI services to accelerate delivery and reduce the operational burden of maintaining AI infrastructure.
Understand how AI services fit into your Azure architecture. Learn provisioning, security, monitoring, and containerised deployment patterns for AI workloads at scale.
Design end-to-end AI architectures that meet performance, security, and compliance requirements. Understand service capabilities, limitations, and integration patterns across Azure AI.
Integrate AI services into your data pipelines. Learn how knowledge mining, document intelligence, and Azure AI Search transform unstructured data into actionable insights.
Set engineering standards for AI development across your team. Gain the depth to review code, evaluate architecture decisions, and mentor developers building AI solutions.
The AI-102 curriculum follows Microsoft's official 5 learning paths. Your team gets a structured walkthrough of every Azure AI engineering domain — delivered by a Microsoft Certified Trainer.
After four days of hands-on engineering with Azure AI services, your team returns to work ready to build — not just plan.
Your engineers will know exactly which Azure AI service to use for each scenario, how to integrate it, and how to deploy it — cutting weeks off development cycles for vision, language, and search features.
Your team learns production security patterns from day one — managed identities, key management, network isolation, and RBAC for AI services. No more security as an afterthought.
Implement Azure OpenAI Service with proper guardrails — content filtering, prompt engineering best practices, and responsible AI governance that meets enterprise compliance requirements.
The Azure AI Engineer Associate certification validates your team's ability to design and implement AI solutions on Azure — a credential recognised by enterprises worldwide.
Establish consistent patterns across your team for AI development — from service provisioning and error handling to monitoring and responsible AI. Reduce technical debt from day one.
Each program includes guided hands-on labs in a live sandbox environment. Your team doesn't just hear about Azure services — they use them, guided by a Microsoft Certified Trainer in real time. Labs remain open for 180 days for sharpening those technical skills.
Book a free 30-minute discovery call. We'll assess your team's current Azure AI capability and design a training program tailored to your technology stack and business goals.
Book Your Free Discovery Call →Every Bespoke trainer holds active Microsoft Certified Trainer (MCT) status and brings real-world AI engineering experience — not just slides and theory.
All trainers hold current Microsoft Certified Trainer status with active Azure AI certifications. They bring hands-on experience building AI solutions for enterprise clients across industries.
Every session is delivered exclusively for your team — never mixed with other organisations. Your trainer tailors code examples, architecture discussions, and labs to your industry and tech stack.
Attend live from anywhere in Australia, New Zealand, or Singapore via our virtual classroom. Or book onsite delivery at your office. Same quality, same trainer, same outcome.
Every program includes guided hands-on labs in a live sandbox environment. Your team builds real skills by working with actual Azure services — not just watching slides and demos.
Bespoke has been the authorised AWS and Microsoft cloud training partner for Australia and New Zealand since 2013 — delivering Microsoft and AWS programs for teams that take capability seriously.
“Our people are our point of difference, so it's critical we partner with organisations that deliver exceptional learning experiences. Bespoke has been a key enabler when it comes to developing cloud expertise.”
“Bespoke played a vital role in designing customised learning paths for our technology workforce. Expert instructors greatly enhanced the learning experience.”
“Bespoke helped us establish tailored learning pathways for our technical staff. 95% of our team expressed interest in certification — they helped us meet our goals.”
“Great content delivered by a highly competent trainer. The labs were well planned and the hands-on learning made the content immediately applicable.”
“This course helped solidify and expand on existing knowledge. A great overview for anyone looking to understand how everything ties together.”
AI-102 is the engineering step. Build on your foundational knowledge from AI-900, then advance to specialist generative AI skills with AI-3016.
Azure AI Engineer Associate
Every Bespoke training engagement includes value-added services that set us apart from standard providers.
Your team gets email access to our operational support team for 30 days after the course. Real questions, real answers, as they apply skills on the job.
Curated Microsoft Learn pathways, practice exams, and study guides included. Everything your team needs to pass the AI-102 certification exam with confidence.
Extended access to lab environments so your team can continue practising after the course ends. Reinforce skills with the same Azure resources used during training.
Your trainer adapts code examples and architecture discussions to your industry, technology stack, and real-world use cases — so learning transfers directly to your projects.
Before the course, we assess where your team stands. After, we recommend what's next. You get a clear AI engineering progression path — not a one-off transaction.
A single point of contact handles scheduling, logistics, and follow-up. From booking to certification, your experience is managed end to end.
Everything you need to know about AI-102 Azure AI Engineer Associate training with Bespoke.
AI-102 is a 5-day (approximately 40-hour) live instructor-led course. It's delivered by a Microsoft Certified Trainer, so your team can attend virtually from anywhere in Australia, New Zealand, or Singapore — or we can deliver onsite at your office.
AI-102 requires familiarity with C# or Python, experience with REST-based APIs and SDKs, and a working knowledge of Azure fundamentals. AI-900 is recommended as a foundation but not mandatory — if your team already has Azure experience, they can start here.
Certification exam vouchers can be included as part of your team program. We'll discuss the right approach during your discovery call — some teams want everyone to certify immediately, others prefer to focus on building capability first.
AI-900 is a 1-day foundational awareness course with no technical prerequisites — ideal for broad teams. AI-102 is a 5-day hands-on engineering course where your developers write code, build solutions, and deploy AI services. Most organisations start with AI-900 for literacy, then send technical teams to AI-102.
Yes. AI-102 includes a dedicated module on implementing generative AI solutions using Azure OpenAI Service — covering prompt engineering, content generation, and responsible AI practices for production deployments. For deeper generative AI specialisation, teams often continue to AI-3016.
Pricing depends on team size, delivery format (virtual or onsite), and whether you include certification exam vouchers. Every engagement is tailored. Book a free 30-minute discovery call and we'll provide a quote based on your specific requirements — no obligation.
After AI-102, teams typically progress to AI-3016 (Develop Generative AI Apps in Azure AI Foundry) for deeper generative AI engineering skills. We'll help you map the right progression path based on your team's roles and your organisation's AI strategy.
Absolutely — in fact, that's how we deliver. All Bespoke courses are private, team-based sessions. Your trainer tailors code examples and architecture discussions to your industry and tech stack. Minimum team size is 5.
Book a free 30-minute discovery call. We'll discuss your team's current skill level, assess readiness for AI-102, and build a training plan together. No pressure, no hard sell — just practical advice.
Book a free 30-minute discovery call with Trent. We'll assess your team's AI engineering capability and design a training program that delivers real results.
Book Your Discovery Call →No commitment • Free 30-min call • Tailored to your team