Software Engineering in AI Era
Master modern software development with AI-powered tools and techniques
Learn how to leverage AI tools, build intelligent applications, integrate LLMs, and adopt best practices for developing software in the AI era.
Core Concepts You'll Master
Use AI assistants and tools to accelerate development workflows
Build applications with large language models and prompt engineering
Understand ML concepts, model training, and inference pipelines
Deploy, monitor, and maintain AI models in production
Responsible AI development, bias mitigation, and security considerations
Why Software Engineering in AI Era?
AI is transforming how software is built, tested, and deployed. Modern engineers need to understand how to leverage AI tools effectively, integrate intelligent features into applications, and navigate the unique challenges of AI-powered systems. This course equips you with the skills to thrive in the AI-driven future of software development.
Course Index
- Introduction to AI in Software EngineeringOverview of AI tools, capabilities, and impact on development
- Machine Learning FundamentalsCore ML concepts, algorithms, and practical applications
- LLMs & Prompt EngineeringWorking with large language models and effective prompting techniques
- AI-Powered Development ToolsCode assistants, testing tools, and productivity enhancers
- Building AI ApplicationsArchitecture patterns, APIs, and integrating AI into products
- MLOps & Model DeploymentDeploying, monitoring, and maintaining AI models in production
- Ethics & Best PracticesResponsible AI development, bias mitigation, and security
- MCP, RAG & CAGAugmenting LLMs with external knowledge and tools
- Mastering ClaudeThe complete guide to Claude's ecosystem: Cowork, Models, Excel, Artifacts, Projects, and Code
- LangChain & LangGraphLangChain pipelines, LangGraph stateful agents, and framework selection guidance
- Google ADKGoogle's Agent Development Kit for building agentic AI workflows natively with Gemini and Vertex AI
- Prompt Engineering in ProductionEvaluation datasets, model-as-judge scoring, and CI/CD pipelines for reliable production prompts
- Capstone: AI Stock AnalystBuild a LangGraph multi-agent stock analysis app with Streamlit and Gemini 2.5 Flash
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