AI engineering
AI engineering at Beyond Market Intelligence is a file of 3 stories. The newest of them: “Explore five free courses to build practical AI engineering skills”, “Build AI from the ground up with 523 hands-on lessons, now in portable books”, and “Explore how teams balance AI progress with human-centered engineering in 2026”. Practical AI skills shouldn't require a computer science degree to access. Five hundred twenty-three lessons, twenty phases, zero libraries hiding the math. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work… The list below is every AI engineering story on Beyond Market Intelligence, newest first.
Explore five free courses to build practical AI engineering skills
Practical AI skills shouldn't require a computer science degree to access. That's why these five free courses focus on the fundamentals that actually matter: LLM basics, RAG, MLOps, fine-tuning, and deployment. Each one is built to move you from understanding concepts to applying them in real workflows. If you're ready to strengthen your engineering toolkit, start exploring. And for a broader view of where AI infrastructure is heading, our coverage of Python Workers going live offers useful context.
Build AI from the ground up with 523 hands-on lessons, now in portable books
Five hundred twenty-three lessons, twenty phases, zero libraries hiding the math. That is what AI Engineering from Scratch offers: a ground-up path from linear algebra through transformers and production serving, now packaged as six portable EPUB and PDF volumes. The code stays stdlib-first, so every backprop step is visible rather than abstracted away. This month also brings the interface and lessons to eight languages, with CI checking each lesson's tests and repairing broken datasets and links.
Explore how teams balance AI progress with human-centered engineering in 2026
The 2026 Engineering Culture Trends Report zeroes in on something easy to overlook: the humans behind the algorithms. Ben Linders and his panel of QCon speakers and InfoQ contributors tackle AI adoption maturity, shifting team structures, and the roles that are transforming as a result. It is a grounded look at what changes when engineering cultures evolve. For a deeper dive into the enterprise side, our related article, "Unlock AI's Enterprise Potential," pairs well with this discussion.