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Coding assistants and LLM powered agents are everywhere, and impact all the aspects of software engineering, from defining requirements to deployment.
This practical, hands-on learning program is for software developers, engineers, and architects who want to:
- Use LLMs deliberately and effectively in their development workflow
- Use LLMs to enhance all phases of software development, from clarifying problems to creating prototypes
- Optimize usage of LLM-based assistants through mindful context management, prompt crafting, and artifact generation
- Create reusable templates, skills, and tools to increase the quality of LLM outcomes
- Integrate assistants with the existing tools and documentation to provide rich context for decision making within complex existing systems
- Build agent systems that support application development
- Understand the limits of LLMs and the boundaries required by security, privacy, and confidentiality
Learning Program Content
Fundamentals
Fundamentals of AI-Powered Software Engineering
4 Topics
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Lesson Content
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Crafting Good Prompts
6 Topics
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Integrating AI Assistants With Tools and Documentation
2 Topics
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AI Assisted Software Engineering
Enhance Your User Stories
7 Topics
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Acceptance Criteria
4 Topics
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Lesson Content
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Architecture with AI
5 Topics
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Lesson Content
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Building a Prototype
4 Topics
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Agent-Based Development Workflow
Fundamentals of Agents
4 Topics
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Lesson Content
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Multi-Agent Systems
6 Topics
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Lesson Content
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Engineering Practices Assisted By AI
AI-Enhanced Engineering Practices
5 Topics
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Advanced Engineering Practices with AI
5 Topics
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Open Questions On AI Adoption in Software Development
4 Topics
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Hands-On Samples
Hands-on Labs – Effective Use of AI Assistants🖥️
4 Topics
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Hands-On Labs – AI-Powered Software Engineering 🖥️
5 Topics
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Hands-on Lab – Generate High Quality Development Artefacts 🖥️
3 Topics
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Hands-On Labs – Agentic Systems for Development 🖥️
2 Topics
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Lesson Content
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What's Next
Check Your Knowledge
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What’s Next?
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