A curated list of essential GitHub repositories for learning AI engineering, providing foundational tools and frameworks that every AI builder should know. Mastering these can accelerate product development and open up new business opportunities.
5 BEST GitHub Repositories to Learn AI Engineering in 2026:
1. Awesome Machine Learning.
github.com/josephmisiti/a
โฆ
2. Full Stack Deep Learning.
github.com/full-stack-dee
โฆ
3. LangChain.
github.com/langchain-ai/l
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4. LlamaIndex.
github.com/jerryjliu/llam
โฆ
5. Hugging F
A hands-on workshop teaching developers how to make AI outputs more consistent and production-ready. Useful for builders aiming to ship reliable AI-powered products or services.
After a successful Cohort 1 on Spec-Driven Development,
weโre opening up Cohort 2.
A lot of developers today are already using AI but still struggling to make the output consistent and production-ready.
Thatโs exactly what this workshop focuses on.
Together with Ricardo
Anthropic has released 13 free AI courses, including certificates, aimed at helping users build foundational and advanced AI skills. Builders can quickly upskill or create content around these resources to attract an audience.
Breaking: Anthropic just launched 13 FREE AI courses with certificates
Here's every course, organized by who should take it
For anyone starting with AI:
1. Claude 101
lnkd.in/dZcGAhHE
2. AI Fluency: Framework & Foundations
lnkd.in/d9ga4Q5C
For
A senior Google engineer has published a comprehensive, code-backed 421-page guide on advanced AI system design patterns, covering topics like prompt chaining, multi-agent coordination, and guardrails. Builders can leverage this to rapidly level up their AI product development skills.
A senior Google engineer just dropped a 421-page doc called Agentic Design Patterns.
Every chapter is code-backed and covers the frontier of AI systems:
โ Prompt chaining, routing, memory
โ MCP & multi-agent coordination
โ Guardrails, reasoning, planning
And itโs free.๏ฟผ
Databricks released a migration guide mapping Airflow orchestration patterns to Lakeflow Jobs, helping builders transition workflows to Databricks' native orchestrator. This is valuable for those automating data pipelines or offering migration services.
Databricks released a migration guide showing how Apache Airflow orchestration patterns โ control flow, triggers, parameters, and dynamic execution โ map to Lakeflow Jobs, its native orchestrator, as part of a broader strategy ...
theagenttimes.com/articles/datab
โฆ #AIInfra
cc
This resource teaches how to leverage AI in DITA and structured content workflows, identify high-ROI use cases, and communicate value to stakeholdersโkey skills for builders automating content or pitching AI solutions.
Inside, youโll learn how to:
Apply AI effectively in DITA and structured content environments
Identify high-impact use cases with measurable ROI
Communicate AI value to both business and technical stakeholders
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AIstructured contentDITAROIbusiness case
sell a course/guide teaching itoffer it as a serviceone-time
A free workshop on April 15th teaches how to build and ship AI/Data Science projects in Python, focusing on practical business applications. Ideal for builders looking to upskill and create marketable AI solutions.
Want to learn how to build + ship AI and Data Science projects (that businesses actually want)?
On April 15th, I am hosting a free workshop to help you get started with AI + DS projects in Python.
Register here (500 seats):
learn.business-science.io/ai-register
LangChain has released a comprehensive, open source RAG course with 18 Jupyter notebooks and a YouTube playlist, covering all major RAG techniques. Builders can quickly level up their retrieval-augmented generation skills for future product or service opportunities.
LangChain open sourced a complete RAG course - 18 notebooks, a full YouTube playlist, and implementations of every major RAG technique from the research papers.
It's called RAG From Scratch. And it's not a tutorial blog post.
It's a structured set of Jupyter notebooks that
This tweet promotes a course teaching advanced, in-demand data science and AI skills (like RAG and ML app deployment) that can help builders move beyond dashboards to higher-value, higher-paying work.
If you want to make $200k as a data scientist, stop making dashboards.
Start doing:
โข Python daily
โข Data to actionable decisions
โข Deploy an ML app
โข Add RAG
โข Add AI DS agent
Need help?๏ฟผ
This is how:
learn.business-science.io/ai-register
A downloadable guide reveals how finance teams can leverage the full capabilities of Copilot, offering actionable insights for builders targeting this niche. Useful for creating content, services, or products around Copilot optimization.
Finance teams think they're using Copilot
They are just using 5% of its capabilities
So I built something to fix that
Download the HD copy here:
nicolasboucher.online/top-100-copilo
โฆ
A cohort-based challenge that guides participants through building and shipping an AI project in a weekend. Useful for builders seeking structured, hands-on experience and accountability to rapidly launch new products.
Ship in a weekend is live!
This is a guided shipping challenge where you get a guide to building with AI, you build alongside others, and a deadline that forces you to ship. This was one of the top voted ideas from my website, first cohort starts Friday
shipinaweekend.com
A 60-minute YouTube tutorial on creating a local AI assistant, providing actionable steps for builders to develop custom AI tools that can be monetized or used to automate business tasks.
60-minute deep dive on how to build your own ๐น๐ผ๐ฐ๐ฎ๐น ๐๐ ๐ฎ๐๐๐ถ๐๐๐ฎ๐ป๐.
Enjoy โ
youtube.com/watch?v=6JEm1I
โฆ
A step-by-step beginner tutorial for using Claude Code to build AI-powered apps and tools without coding experience. Useful for entrepreneurs looking to quickly upskill and prototype AI products.
Just dropped my Claude Code Beginner Tutorial
If you want to build apps, tools, and websites with AI without being a developer, this is the perfect place to start.
Simple, beginner-friendly, and step-by-step:
A recommended 15-minute YouTube tutorial on building with Gemini API, aimed at developers looking to leverage Gemini for AI-powered projects. Useful for quickly leveling up skills to build or automate with Gemini.
5/ If you're serious about building with Gemini โ this one's worth 15 minutes of your time. Watch โ
youtu.be/gawUKtj7FF4 Channel โ
youtube.com/@technicalpotp
โฆ RT if this was useful #GeminiAPI #AI #Python #LLM #BuildWithAI
A step-by-step roadmap outlining the foundational skills needed to build production-ready AI agents. Essential for entrepreneurs aiming to upskill and create AI-powered products or services.
Complete AI Agent Developer Roadmap (From Zero to Production-Ready)
โ
โฃ Foundations of AI
โ โฃ Generative AI Concepts
โ โฃ Machine Learning Basics
โ โฃ Large Language Models (LLMs)
โ โฃ Prompt Engineering
โ โ Retrieval-Augmented Generation (RAG)
โ
โฃ
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sell a course/guide teaching itwrite a newsletter/blog about itskill building
A guide highlighting advanced AI agent skills now expected in interviews, such as multi-agent systems and observability. Builders can use this to upskill and stay competitive in the evolving AI landscape.
Stop learning AI agents the wrong way.
Most devs are stuck at: โข basic RAG
โข single-agent demos
โข copied LangChain tutorials
But interviews now expect: multi-agent systems, MCP, guardrails, observability, long-running agents.
This Agentic AI Systems Interview Q&A Guide
A free guide to mastering Claude Sonnet 4.6, including unique prompt strategies and 2000+ AI prompts. Builders can use this to improve their own AI products or create educational content for others.
Claude Sonnet 4.6 is the smartest Al right now.
But 90% of people prompt it like ChatGPT.
That's why I made the Claude Mastery Guide:
โ How Claude thinks differently
โ Prompts built for Claude
โ 2000+ Al Prompts
Comment " Claude " and I'll DM it free.
Live tutorial from a Google Cloud AI leader on building distributed multi-agent systems using Google ADK and Cloud Run. Builders can learn scalable agent architectures relevant for automating and scaling AI-powered businesses.
Going LIVE! Shir Meir Lador, AI Leader at Google Cloud, is about to take the stage for her tutorial "Building Distributed Multi-Agent Systems: Designing Scalable Agent Architectures with Google ADK and Cloud Run" at the Future of Data and AI: Agentic AI Conference!
You'll
A free YouTube masterclass shows how to build a production-ready data engineering pipeline on AWS using just 14 essential services. Builders can quickly level up their cloud skills to create scalable, automated systems for future projects.
AWS has 200+ services. You need 14.
I built a production pipeline using just these.
I just dropped a FREE ๐๐ช๐ฆ ๐ ๐ฎ๐๐๐ฒ๐ฟ๐ฐ๐น๐ฎ๐๐ on YouTube.
A full end-to-end data engineering project on AWS โ from zero to production pipeline.
Here's what you'll learn:
๐๐น๐ผ๐๐ฑ
A concise framework outlining the essential steps to create, protect, deploy, and scale a software programโvaluable for entrepreneurs building AI-powered products or services.
You can learn content like this in 6 steps!
Step 1: "Create" a program
Step 2: "Protect" a program (Git/GitHub)
Step 3: "Publish" a program (Deploy)
Step 4: "Connect" to external services (API)
Step 5: "Hide" data (Backend)
Step 6: "Store" data (Database)
Each may seem like
A curated list of the most valuable AI educational repositories on GitHub, focused on Jupyter-based resources. Builders can quickly upskill or create content around these high-quality, practical learning materials.
The 10 Most Valuable AI Learning Repositories on GitHub
I pulled the top 10 repos where Jupyter is the main language
Filtered for the best educational resources
Here's what's worth your time :
1. microsoft/generative-ai-for-beginners 105,577 21
lessons covering the
Anthropic is offering full AI courses and real certifications for free, enabling builders to quickly upskill in Claude and AI usage. This is a valuable opportunity to gain credentials and practical knowledge at zero cost.
If you're serious about learning how to use AI professionally (especially Claude)
Check out these AI courses from Anthropic
> full courses.
> real certifications.
> $0.00 cost.
Totally FREE, letโs cook
Anthropic released 13 free, self-paced AI courses (with certificates), offering builders a fast, no-cost way to upskill on Claude and AI fundamentals. Useful for entrepreneurs looking to quickly level up or credential themselves in AI.
Anthropic just launched 13 FREE AI courses (with certificates).
No paywall. No subscription.
Self-paced. Official certs.
Just sign up โ
anthropic.skilljar.com
Here are all 13
FOR EVERYONE โ AI Fluency Track
1. Claude 101
anthropic.skilljar.com/claude-101
2. AI Fluency:
A practical guide to quickly improving AI-generated designs, helping builders turn low-quality outputs into more polished results. Useful for anyone looking to enhance the visual appeal of their AI products or content.
We've achieved desloppification internally
If you wanna know how to turn any AI slop design into something passable in just a few minutes, check out the desloppification guide - now live on the
@shipstudio_app
channel
youtu.be/qhJXv8x7f98
Anthropic has released a free course on Claude Code, created by the team behind the tool. Builders can quickly upskill in Claude Code without paying for expensive courses, accelerating their ability to leverage this tech in projects.
BREAKING: Anthropic just launched a FREE course on Claude Code.
Now you don't have to spend 2000$ on courses to learn Claude code.
It's called "Claude Code in Action" and it's built by the exact team that created Claude Code itself.
Here's everything you get for $0:
โ How
A YouTube tutorial breaks down 30 core concepts of Claude Code, showing non-coders how to use AI agentic workflows to build functioning applications. This lowers the barrier for entrepreneurs to automate and prototype new products.
Technical barriers to building software are disappearing. This AI automation tutorial (on YouTube) breaks down 30 core concepts of Claude Code for non-coders, showing how to go from a simple prompt to a functioning application.
It covers how to use an AI agentic workflow to
The tweet highlights how Google AI can streamline learning and problem-solving in Blender, reducing time spent searching for commands and tutorials. Builders can leverage this insight to create content or guides on integrating AI into creative workflows.
His donut tutorial was a great way for me to learn commands and workflow. Im now comfortable with Blender and instead I use image references and google ai saves me time to search for commands, addons, steps to follow for example when I want to texture a mesh and solves problems.
A deep dive into neural network interpretability research by Chris Olah and team, offering foundational insights for builders aiming to create more transparent and trustworthy AI products.
People interested in model interpretability check out this gold.
The "Circuits" Thread
A series of exploratory research by Chris Olah himself and team when he was with OpenAI around 2020-2021.
Circuits are sub-graphs of the network, consisting a set of linked features and the
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This step-by-step guide shows how to create an AI-powered weather agent using ADK-Rust and wttr.in, offering practical skills for builders interested in AI automation and Rust development.
Building a Weather AI Agent with ADK-Rust: A Step-by-Step Tutorial
Learn how to create a simple yet powerful AI Agent in Rust using the ADK-Rust framework and
wttr.in to fetch real-time weather reports.
A YouTube tutorial demonstrates building a self-evolving memory system for coding agents, inspired by Karpathyโs architecture. Builders can learn to prevent context loss in AI workflows, a key skill for robust automation products.
This AI agent tutorial (on YouTube) shows how to build a self-evolving memory system that prevents your coding agents from losing context when a session ends.
Inspired by Andrej Karpathyโs "compiler" architecture, this AI automation workflow turns raw conversation logs into a
A walkthrough synthesizing Harness mental models, LangChain/Anthropic/OAI research, and practical examples. Useful for builders seeking to deepen their understanding of AI orchestration and harnessing techniques.
nice walkthrough from Akshay bringing together Harness mental models from our blogs + research artifacts at LangChain, Anthropic/OAI write ups, examples from perplexity
โif youโre not the model youโre the harnessโ
i had many back and forths writing this, can be coarse
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AI frameworksmental modelsLangChainresearchbuilder mindset
Breaks down the difficulty of key skills for building AI agents, from prompt writing to using frameworks and managing memory. Useful for entrepreneurs to identify which skills to master or outsource when building automated AI products.
AI Agents - Difficulty Breakdown
Prompt writing - Easy
โ Writing something that โworksโ
Using frameworks (LangChain, LlamaIndex) - Medium
โ Connecting LLMs, tools, basic flows
Memory & context handling - Medium
โ Managing state across steps
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AI agentsskillsframeworksautomationLLMs
sell a course/guide teaching itoffer it as a serviceone-time
Event covering real-world implementations of Generative UI, including AG-UI and MCP ecosystems, with live demos and expert talks. Useful for builders seeking to understand current trends and practical applications in generative interfaces.
Generative UI Night II
TONIGHT at
@WorkOS
SF
Weโll be breaking down how Generative UI is actually being implemented today, with deep dives into the AG-UI and MCP ecosystems, plus live demos from the community.
Speakers:
1. The Evolving Generative UI Landscape -
@ataiiam
,
This tweet highlights the significant performance boost of using NVLink over PCIe for distributed training, referencing a Hugging Face article comparing DDP performance. Builders can leverage this insight to optimize AI infrastructure or create educational content.
NVLink = direct GPU interconnect -> much higher bandwidth than PCIe
So communication paths actually matter a lot for distributed training.
I was reading a Hugging Face article where they compared DDP performance with & without NVLink, and the difference is pretty clear:
(2/n)
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AI infrastructuredistributed trainingNVLinkperformanceHugging Face
write a newsletter/blog about itsell a course/guide teaching itskill building
A thread of high-impression articles on DevOps, including how to monetize quickly and a free 2026 DevOps guide. Useful for builders seeking to upskill or replicate monetization strategies.
Posted 10 articles so far, total impressions 170k+
If you want to go through them, you can check out:
โ How I got monetized in one month:
x.com/devops_nk/stat
โฆ
โ Ultimate Guide to Learn DevOps in 2026 (Free):
x.com/devops_nk/stat
โฆ
โ Kubernetes Architecture
A curated list of free AI courses, including Google's AI Learning Path, that can help entrepreneurs quickly upskill and stay competitive in the AI space.
Most people are learning AI the wrong way
You donโt need 100 courses.
Just the right ones.
Here are 8 free AI courses
every professional should check out in 2026
Google AI
Googleโs AI Learning Path (15โ20 hours)
grow.google/ai
โข 5 comprehensive courses
This tweet highlights @rasbt's book and content on building LLMs from scratch, offering a comprehensive resource for entrepreneurs to understand and potentially create their own AI models. Mastering these internals can unlock new product or service opportunities.
If you're interested in getting into the internals of how the current breed of LLMs work, check out
@rasbt
's excellent content.
His book Building an LLM from Scratch is fantastic, and he puts out lots of other high-quality content.
A LangChain blog post summarizing state-of-the-art continual learning methods for AI agents. Useful for builders seeking to enhance their AI products or stay updated on advanced techniques.
A great read by
@LangChain
, explaining and summarizing the current SOTA methods for Continual Learning for AI agents.
Link:
blog.langchain.com/continual-lear
โฆ
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AI agentscontinual learningLangChainmachine learningSOTA
write a newsletter/blog about itsell a course/guide teaching itskill building
Anthropic is offering free AI courses, providing a solid entry point for entrepreneurs to quickly upskill in AI fundamentals. This resource can help builders gain the knowledge needed to create or improve AI-powered products.
This is your first step to learning AI. Check out Anthropicโs free courses.
anthropic.skilljar.com
This tweet highlights the importance of selecting the correct loss function for AI models, which is crucial for building effective, automated products. Understanding loss functions helps entrepreneurs create more accurate and reliable AI-powered income streams.
A loss function is your model's compass.
If the compass is off, the model will never reach its destination. Whether you're dealing with regression, classification, or imbalanced data, picking the right loss is critical.
Check out this deep dive into 5+ essential loss
This tweet highlights the gap between controlled LLM demos and real-world deployment, emphasizing the importance of robust evaluation environments. Builders can learn how to avoid pitfalls when launching AI-powered products.
The demo works because you built the eval environment to match the model's strengths. Here's what happens when the model meets the real world instead. -
hackernoon.com/why-llm-applic
โฆ #ragpipelines #devops
Anthropic has released 13 free AI courses with certificates, offering foundational and advanced knowledge for anyone looking to upskill in AI. Builders can leverage these to quickly level up or credential themselves for new opportunities.
Breaking: Anthropic just launched 13 FREE AI courses with certificates
Here's every course, organized by who should take it
For anyone starting with AI:
1. Claude 101
anthropic.skilljar.com/claude-101
2. AI Fluency: Framework & Foundations
anthropic.skilljar.com/ai-fluen
A practical prompting framework to help creators brainstorm AI-powered game ideas. Useful for builders seeking inspiration or structure for their next project.
Stuck on what game to make with AI?
Here's a prompting framework that actually works.
A webinar covering new features in Jmix 2.8, including AI and agent-based development, with real use cases and a new B2B CRM demo. Useful for builders exploring frameworks for automating business workflows.
The webinar ยซWhatโs new in Jmix 2.8 and how it impacts real developmentยป - tomorrow!
April 7 | 13:00 (UTC +0)
Weโll cover:
Key features in Jmix 2.8 with real use cases
AI in Jmix and how agent-based development fits real workflows
New B2B CRM demo app
Community
A walkthrough on using NemoClaw with DGX Spark to run local autonomous agents. Useful for builders exploring new agent frameworks or seeking to automate workflows with advanced hardware.
ICMYI: Great walkthrough on using NemoClaw with DGX Spark for local autonomous agents.
Catch up on-demand.
A practical guide outlining how architecture and engineering firms can adopt AI, highlighting actionable use cases. Useful for builders targeting the AEC industry or seeking to create content or services around AI adoption.
AI is moving fast in architecture & engineering โ but knowing where to start is the real challenge.
This guide breaks down practical AI use cases and what firms need to ad opt with confidence:
ow.ly/tptj50YAtrc
Get your copy
#AECIndustry #DeltekProjectNation
A single document compiling useful AI tools and resources, saving builders time on research and discovery. Useful for quickly finding solutions or inspiration for new projects.
I collected useful AI tools and resources in one document.
You can find everything in one place instead of searching everywhere.
Check it out
docs.google.com/document/d/1wT
โฆ
Let me know if I should add more.
A case study highlighting the unique insider risks posed by AI agents, offering crucial insights for builders to consider when deploying or automating with AI. Understanding these risks is vital for protecting business assets and customer trust.
Check out this solid case study of showing the myriad of risks with AI agents.
Its not just a software issue
They introduce a new dimension of insider threat.
This article for a clear example
bit.ly/4coO8Tv
Also holler, to AGAT for sponsoring this Tweet
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write a newsletter/blog about itpost about it on Xaudience building
A curated GitHub repo and free newsletter offering daily AI tutorials and practical use cases, helping builders stay updated and discover actionable AI tools and strategies.
Repo:
github.com/mnfst/awesome-
โฆ
If you want more practical AI gems and use cases, join our free newsletter with daily tutorials and latest news in AI:
simplifyingai.co
A new web designer shares their process of building a full SaaS landing page for an AI writing tool using Figma and Framer, including a design system and mobile version. This is a practical example for builders looking to quickly prototype and launch AI product sites.
I've been learning web design for 3 weeks.
Here's what I built:
A full SaaS landing page for a fictional AI writing tool (Figma + Framer).
Complete with design system, component library, hover states, scroll animations, copy, and a mobile version.
Everything from scratch:
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web designSaaSlanding pageFigmaFramer
sell a course/guide teaching itoffer it as a serviceone-time
A major update to the Journalist's Toolbox adds 50 new resources, offering fresh tools and guides for content creators and media entrepreneurs. Builders can leverage these to improve workflows or discover new automation and monetization ideas.
We've added 50 new resources to the Journalist's Toolbox this week. Check out the homepage and the What's New section for the latest gems:
A step-by-step guide to using conversational prompts with LLMs for brainstorming and documenting game ideas. Useful for builders looking to leverage AI for rapid prototyping and ideation.
As many are asking for this vibejam, here is my quick guide to getting started
The very 1st prompt is a conversation with the LLM. I casually chat with it to describe and brainstorm around what game I want to build.
The output of this discussion is 2 "fundational" documents:
-
A guidebook on building production-ready AI agent systems using proven architectures and tools like LangChain. Useful for builders seeking to level up their agent automation skills for future product or service offerings.
30 Agents Every AI Engineer Must Build โ Build production-ready agent systems using proven architectures and patterns:
amzn.to/41ckg6z via
@PacktDataML
โ
What you will learn:
Deploy production-ready agent systems that scale securely and reliably
Use LangChain and
AlphaSignal.ai offers daily summaries of top AI models, repos, and papers, helping builders stay updated on the latest trends and tools in the AI space. This resource can inform product ideas and keep entrepreneurs ahead of the curve.
Thanks for reading!
Follow
@AlphaSignalAI
for more content like this.
Check out
AlphaSignal.ai to get a daily summary of top models, repos, and papers in AI. Read by 280,000+ devs.
Shares a practical process for designing and reviewing how AI products handle failure cases, which is crucial for user trust and product quality. Builders can use this to improve their own AI-powered tools and reduce churn.
The AI PM skill nobody talks about: failure design.
Before every launch, we run a 30-min "Wrong Answer UX" review with eng. Here is the exact process:
For every model output, fill this table:
โ What does the user see when it is wrong?
โ What can they DO about it? (edit,
This tweet shares a YouTube tutorial for quickly experimenting with AI agents in iOS apps, lowering the barrier for builders to integrate AI with minimal risk. Useful for entrepreneurs looking to upskill or prototype AI-powered features.
You're curious to try AI agents but you haven't had the time yet?
I've found a great way to start experimenting with them in your iOS project with minimal risks and efforts.
Let me explain
youtube.com/watch?v=wWhcM_
โฆ
IIT Bombay is offering a certificate course in Agentic AI for working professionals. Builders can upskill in agentic AI, which may open up new business opportunities or enhance existing AI-powered products.
Hi Folks
Check out the below Certificate course in Agentic AI from IIT Mumbai
IIT Bombay Certificate in Agentic AI for Working Professionals
share.google/D6MAQmTHABtiqs
โฆ
#agenticai #iit
@iitbombay
This tweet highlights a paper comparing single-agent and multi-agent LLM approaches for multi-hop question answering, helping builders understand which architecture may be more effective for complex AI tasks.
Do you really need multi agent systems, or just better single-agent LLMs? Check out this paper, where
@dattranm
tries to tackle that question for multi-hop question answering. Really great job!
A live session on building the NSTG dataset, offering insights into dataset creation workflows. Useful for builders looking to level up their data engineering skills or create their own datasets for AI products.
I'll be sharing how I built the NSTG dataset on Datum Africa this Saturday by 5pm. Link to register:
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A personal article shares practical lessons from 3 weeks of learning prompt engineering, offering actionable insights for entrepreneurs looking to leverage AI more effectively in their projects.
Have been learning Prompt Engineering for the past 3weeks now, here's a shared link of what have learned so far...
Check out my latest article: Prompt Engineering Isnโt About Asking Questions โ Hereโs What Iโm Learning Instead.
linkedin.com/pulse/prompt-e
โฆ via
@LinkedIn
Bitdefender Labs reveals how a fake Windsurf extension hides its true behavior, highlighting key security checks before installing browser add-ons. Builders can use this insight to educate audiences or improve their own extension vetting processes.
Bitdefender Labs investigated a fake Windsurf extension that hid its real behavior until after installation. See how it works and what to check before installing extensions:
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securitybrowser extensionsmalwareeducation
write a newsletter/blog about itmake a YouTube video about itad revenue
This tweet explains how the apiVersion field in Kubernetes YAML files determines how resources are handled. Builders working with AI infrastructure or deploying automated apps can use this foundational knowledge to avoid deployment errors and streamline DevOps.
ANSWER
apiVersion tells Kubernetes how to read and understand your YAML file
When you create a resource, Kubernetes first looks at apiVersion to know how to handle it correctly.
It answers 3 important questions:
1 - Who handles this resource?
apiVersion tells Kubernetes which