AI Software Development Boost
Discover how to smartly leverage AI within Azure to develop software faster, more securely, and more intelligently. In this compact training, you'll learn how GitHub Copilot, Azure OpenAI, and machine learning add real value to your development workflow.
Putting AI and Azure to work
AI is changing the way we develop software. From automatic code completion to intelligent analysis and custom models, the tools are already here, but the challenge lies in using them effectively.
In this session, you'll discover how AI and Azure reinforce each other. You'll learn how to make the most of GitHub Copilot, how Azure OpenAI and Form Intelligence accelerate your work, and how Machine Learning Studio and AI Search contribute to modern DevOps processes.
The focus is on practical applicability: we combine technical demos, hands-on examples, and workflow optimizations. You'll learn where the real gains are, what the risks involve (privacy, security, automation bias), and how to responsibly integrate AI into your development processes.
This training is designed by Betabit specialists who work on business-critical software in Azure every day. Expect realistic scenarios, recognizable challenges, and immediately applicable insights – not AI theory, but the practice of software development with AI.
🕐 Duration: 4 hours (including demos and practical examples)
👥 Target audience: Developers, software engineers, testers, and architects who want to practically apply AI and Azure in their development processes
What you’ll learn
After a short introduction, you'll dive into five blocks full of practical examples, demos, and insights. Adaptable based on experience level and learning needs.
- GitHub Copilot Deep Dive
- Improving workflows with AI
- Practical demos of everyday development scenarios
- Better code generation and editing
- Collaborating with Copilot in teams
- Tips and best practices for optimal use
- Workflow Optimizations
- The potential of ChatGPT in software development
- Azure DevOps integrations with AI
- Copilot for Azure: concrete applications
- Mitigating risks: privacy, security & automation bias
- Azure OpenAI & Document Intelligence
- Overview of features, functionalities, and capabilities
- Form Intelligence: using document processing and data extraction
- AI Search: practical demo combined with search process optimization
- Machine Learning Studio & MLOps
- Overview of possibilities within Machine Learning Studio
- Integration with MLOps and CI/CD
- Data science as a structural part of software development
- Custom Models & AI Vision
- Creating custom models for specific AI resources
- Developing tailored models for Vision applications
- Workshop: integrating custom AI models into existing applications
- Conclusion: AI in Software Development
- Discussion: trends, ethics, and future developments
- Room for questions and experience sharing
The power of AI within Azure
After this session, you’ll know how to effectively combine AI and Azure tools to accelerate and improve software development. You’ll gain insights into the technology, the risks, and the concrete steps to sustainably integrate AI into your own workflow.
Interested? We will contact you shortly.
Interested? Talk to Esther about it!
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