PERL,INGRES,PROGRAMMING

  The Missing Semester of Your CS Education course aims to teach students essential tools and techniques that are often overlooked in the traditional    computer science curriculum. https://www.i-programmer.info/news/150-training-a-education/19146-mits-missing-semester-of-your-cs-education-2026-edition.html

  Introducing a comprehensive GitHub repository which hosts 70 cybersecurity projects ranging from foundational to advanced difficulty.  This is an educational collection which includes practical tools like hash identifiers, metadata scrubbers and Caesar cipher utilities, each accompanied by detailed "learn" modules. These modules explain security theory, system architecture and step-by-step implementation to help students understand real-world applications. https://www.i-programmer.info/news/149-security/19050-the-cybersecurity-learning-lab-70-hands-on-practical-projects.html

  We look at a Github repository that provides a comprehensive, step-by-step guide for constructing a modern Large Language Model from the ground by up using Python and PyTorch. https://www.i-programmer.info/news/105-artificial-intelligence/18970-how-to-train-your-gpt-a-comprehensive-llm-guide.html

  The full materials of the recent Stanford CME296 lecture series, which constitutes a comprehensive technical deep dive into generative modeling, are now available to all and for free. https://www.i-programmer.info/news/150-training-a-education/18939-stanfords-cme296-diffusion-a-large-vision-models.html

  The full materials of the MIT 6.S191 lecture which took place just this March are now available for free and for all. This lecture is a comprehensive overview of deep learning architectures, specifically focusing on Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Transformers. https://www.i-programmer.info/news/150-training-a-education/18878-massachusetts-institute-of-technology-introduction-to-deep-learning.html

  A training repository from Microsoft on GitHub provides a structured curriculum for developers ranging from beginner to expert to learn Rust. https://www.i-programmer.info/news/150-training-a-education/18853-microsofts-rust-training-books-curriculum-.html

  It's a full curriculum that lives solely on its Github repository. And it's really full; it spans from installation basics to advanced production workflows which also include Agent Skills for automating team standards, specialized agents for targeted expertise, and the Model Context Protocol (MCP) for connecting the AI to external data sources like GitHub repositories and live documentation. https://www.i-programmer.info/news/150-training-a-education/18824-github-copilot-cli-for-beginners-the-course-.html

  Under the umbrella of Skilljar, Anthropic Academy provides a comprehensive suite of free online courses designed to build AI Fluency across various professional and academic sectors. https://www.i-programmer.info/news/105-artificial-intelligence/18735-anthropic-releases-free-courses-on-ai-.html

  SQL, yes that old horse, is still going. SQL has been the data access standard for decades. It levels the playing field, easily integrates with other systems and accelerates delivery. Here's a  beginner-friendly course on SQL for data engineering. https://www.i-programmer.info/news/150-training-a-education/18703-learn-sql-for-data-engineering-the-course.html

  Python. Even if you close your eyes and try to ignore it, you really can’t; it’s everywhere, especially in the AI and Data Science fields. Therefore, it has become a necessity to get to know it, even if you’re a Java developer enjoying its rich and large language ecosystem. Despite the fact that lately Java has been powered up with great AI libraries like LangChain4j, which make it easy to build AI-powered applications, in order to tap into the full, unconstrained pool of AI capabilities, you still need to go to Python. https://blog.geekuni.com/2026/02/python-for-java-developers.html

  We take a look at an IBM Technology resource that explores the fundamental principles and business applications of artificial intelligence, with a focus on large language models (LLMs) and machine learning (ML). https://www.i-programmer.info/news/105-artificial-intelligence/18687-ibms-ai-models-explained.html

  We look at a  hand-on and free course that teaches you how to use Claude Code by doing real work. It's a course designed to teach non-technical users how to master Anthropic’s AI agent; from foundational terminal commands and file operations to advanced vibe coding, where users build and deploy applications by describing their goals rather than writing code. https://www.i-programmer.info/news/105-artificial-intelligence/18668-claude-code-for-everyone-the-course.html

  A brand new course from the makers of LangSmith themselves, promises to teach you how to observe, evaluate, and deploy your agents. And all that in less than 30 minutes. https://www.i-programmer.info/news/105-artificial-intelligence/18638-langchain-academys-langsmith-essentials-course.html

  This isn't just a course, it's the complete curriculum of Stanford’s  CME295 Transformers and Large Language Models  from Autumn 2025. https://www.i-programmer.info/news/150-training-a-education/18604-watch-stanfords-cme295-transformers-and-llms.html

  And it shows it by launching a new step by step tutorial on building AI powered application with Python. https://www.i-programmer.info/news/216-python/18557-microsoft-loves-python-ai.html

  In cooperation with the Nebius AI cloud platform, JetBrains has launched a set of ten free courses for developers that demonstrate how to incorporate AI in their workflow to become 10X productive. https://www.i-programmer.info/news/105-artificial-intelligence/18528-jetbrains-work-with-ai-effectively.html

  A new course, thanks to Andrew Ng and his partnership with Box, that shows how you can leverage MCP servers to offload otherwise laborious and custom-made work. https://www.i-programmer.info/news/150-training-a-education/18489-build-ai-apps-with-mcp-servers-with-deeplearningai.html

The more elaborate the prompt the better the outcome. But how do I construct a really great prompt? The answer to that question is given by this free, official Anthropic step-by-step guide which shows how to construct prompts that get optimal answers out of the Claude LLM. https://www.i-programmer.info/news/150-training-a-education/18470-anthropics-prompt-engineering-tutorial.html

  In this Github-based course provided by Microsoft, you'll learn how to build GenAI application using JavaScript. Microsoft's has produced a stream of AI tutorials the likes of "AI Agents for Beginners" , "Copilot Adventures" or "Generative AI for Beginners", which we've already covered on I Programmer. https://www.i-programmer.info/news/167-javascript/18227-microsofts-generative-ai-for-beginners-with-javascript.html

  Introducing a Github repository that delves into ways of constructing prompts that squeeze performance out when building AI Agents  https://www.i-programmer.info/news/105-artificial-intelligence/18232-prompt-engineering-for-agentic-systems.html