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Data science hiring in 2026 looks nothing like it did three years ago. Earlier, data science roles mostly required you to analyse spreadsheets at length. But come 2026, and now companies are looking for builders of machine learning systems, GenAI pipelines, and production-grade models that have a real impact on business metrics. Easy to guess, […]
Prompt engineering isn’t about creating elaborate prompts. It’s about developing the judgment to choose the right structure, logic, and level of control for a given task. This article gives you 40 scenario-based questions and answers that reflect real decisions you make when working with LLMs in production. Try answering each question before revealing the solution.
40 Prompt Engineering Questions (With Interview-Ready Answers) Read More »
If you’re curious about trending terms like AI Agents or Agentic AI, you’re in the right place. Agentic AI is rapidly moving from experimentation to enterprise adoption. According to Gartner, over 60% of enterprise AI applications are expected to include agentic components by 2026, while more than 40% of early agentic AI projects are projected to be abandoned due to poor architecture, cost overruns, and lack of
AI and data science are two of the fastest-growing fields in the world today. If you realize that and are aiming to level up your portfolio, stand out in interviews, or simply understand them in detail, here is your ultimate wrap-up for 2025. In this article, we bring you 25+ fully solved, end-to-end AI and
25+ AI and Data Science Solved Projects [2025 Wrap-up] Read More »
Some people want to “learn AI.” Others want to build the future. If you’re in the second category, bookmark this right now – because the Generative AI Scientist Roadmap 2026 isn’t another cute syllabus. It’s the no-nonsense, industry-level blueprint for turning you from “I know Python loops” into “I can architect agents that run companies.”
