at and t cellular

Make AI a practical part of your everyday engineering workflow. Learn to use Claude for research, specifications, architecture, coding, testing, documentation, and DevOps, while managing parallel workstreams, token costs, and the human decisions that keep projects on track. [Read more]

6 chapters of this MEAP are available now, with more to follow soon!

Give AI-assisted development a stronger foundation than ad hoc prompts and generated code. Learn to capture intent in durable, reviewable specifications, guide agents from requirements to deployment, and apply these workflows to both new projects and existing codebases. [Read more]

4 chapters of this MEAP are available now, with more to follow soon!

Unlock the power of parallel hardware with hands-on CUDA examples. Build your understanding from first principles, then put core patterns such as map, reduction, scan, histogram, and stencil to work as you learn to write programs that tackle demanding workloads at scale. [Read more]

5 chapters of this MEAP are available now, with more to follow soon!

Cut through the AI hype and discover what modern AI systems actually do. Explore large language models, prompting, model selection, RAG, agents, and generative AI in clear, approachable language—along with the hallucinations, bias, privacy risks, and trade-offs you need to use these technologies wisely. [Read more]

3 chapters of this MEAP are available now, with more to follow soon!

Build real intuition for the algorithms behind everyday software without getting buried in mathematical notation. Through conversational explanations, Python examples, and practical applications, explore matching, allocation, data structures, graphs, and other techniques you can reach for when solving real engineering problems. [Read more]

11 chapters of this MEAP are available now, with more to follow soon!