Claude Code for Real Engineers
Source: https://www.aihero.dev/cohorts/claude-code-for-real-engineers-2026-04
The world of technology is changing faster than ever. New tools and approaches are emerging almost every day, and the question arises more frequently: what will the future of development look like in 5 years? While some predict the end of programming and others sell utopian promises of AI, engineers need not the hype—they need working tools and real skills.
Creating a simple AI demo today is easy: connect a couple of APIs, write a prompt—and you’re done. But in real products, it’s more complex. Unstable results, data leaks, model hallucinations, and poor user experience all show that properly integrating AI into a product is a challenging engineering task.
This course is designed for developers who want to not just experiment with GenAI, but build reliable solutions. You will get acquainted with modern practices for working with generative AI, including:
- Prompt Engineering
- Evals
- Observability
- Tracing
- Retrieval-Augmented Generation (RAG)
- AI agents
Moreover, you don’t need to be a machine learning researcher or understand model training and GPU infrastructure. This course shows the path of an AI engineer—a specialist who uses modern models and tools to create useful applications and deliver real value to users and businesses.
Throughout the course, you will step by step study and apply Claude Code in real engineering scenarios: from small practical tasks to a full-fledged AI development workflow.
The course is conducted in a cohort format: participants learn together, complete practical assignments, and discuss solutions in the community. New lessons consisting of short videos and practical coding exercises are released each week. Live Office Hours are also available, where you can ask questions and dissect complex moments.
This course is for engineers who want to not just watch the AI revolution from the sidelines, but become those who build it.
Claude Code for real engineers.
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