No course will get you a cybersecurity job. Labs will. Here are the 10 you need to practice right now. 1. TryHackMe SOC Level 1 Path: the single best starting point for anyone who wants to work in a SOC. Covers log analysis, SIEM tools, threat detection, and incident response in a fully guided, beginner-friendly format. tryhackme.com/path/outline/s… 2. HackTheBox Starting Point: step-by-step guided machines that take you from zero to your first real exploitation. Once you finish Starting Point, move to the easy machines and build from there. hackthebox.com/starting-poin… 3. PortSwigger Web Security Academy: the best free resource for learning web application security. Every OWASP Top 10 vulnerability covered with real labs you actually hack, not just read about. Free. portswigger.net/web-security 4. Blue Team Labs Online: defensive security labs focused on forensics, threat hunting, SIEM analysis, and incident response. Built specifically for people who want to work on the blue team side. blueteamlabs.online 5. OWASP WebGoat: a deliberately insecure web application you run locally and attack. One of the best ways to understand how web vulnerabilities actually work from the inside. owasp.org/www-project-webgoa… 6. VulnHub: free downloadable vulnerable virtual machines you spin up in VirtualBox and practice on locally. No internet required, no subscription, just download and hack. vulnhub.com 7. PicoCTF: a free beginner CTF platform built by Carnegie Mellon University. Covers web exploitation, forensics, cryptography, reverse engineering, and binary exploitation through hundreds of challenges. picoctf.org 8. OverTheWire Bandit: a wargame that teaches Linux fundamentals, SSH, file permissions, and basic exploitation through progressive challenges. If your Linux skills are weak, start here before anything else. overthewire.org/wargames/ban… 9. Immersive Labs: used by enterprise security teams globally for hands-on skills development. Has a free tier with labs covering SOC, malware analysis, cloud security, and threat intelligence. immersivelabs.com   10.Cyberdefenders: blue team focused labs built around real-world attack scenarios with PCAP files, malware samples, and memory forensics. The closest thing to working a real incident without being on the clock. cyberdefenders.org The gap between people who get hired and people who keep applying is not certificates. It is lab hours. Put in the reps. Save this and share it with someone trying to break into cybersecurity. Repost for others to see.

The AI labs want you to think you need a paid subscription to access world-class intelligence. You don’t! Here are 7 free AI models competing with Claude and ChatGPT right now: The open-source AI space exploded in 2025 and 2026, and right now there are free models matching frontier performance on coding, reasoning, and agentic tasks, with some even beating the paid ones on key benchmarks. 1.DeepSeek V3.2: the model that shocked the world in early 2025 is now even better, matching GPT-5-level reasoning on benchmarks like AIME and HMMT 2025, with a sparse attention mechanism that keeps inference costs low. Free to use at chat.deepseek.com   2.Llama 3.3 70B (Meta): Meta’s open-weight flagship that fits on a single A100 GPU and outperforms GPT-3.5 on almost every benchmark, with the 405B variant going head-to-head with GPT-4o. Free via Groq, Ollama, or Meta AI on WhatsApp and Instagram. llama.meta.com   3.Qwen 3.5 (Alibaba): 235B parameters with only 22B active at inference, a 262K token context window, and support for over 200 languages including several African languages. Benchmarks put it in frontier territory on reasoning and coding. huggingface.co/Qwen   4.GLM-5 (Zhiyu AI): currently ranked #1 on open-source LLM benchmarks with a 95.8% score on SWE-bench Verified for coding, the lowest hallucination rate of any open model tested, and near-zero on the AA-Omniscience Index. Free to download. huggingface.co/THUDM   5.Kimi K2.5 (Moonshot AI): natively multimodal, trained on 15 trillion mixed visual and text tokens, and capable of spinning up to 100 sub-agents in parallel for agentic workflows, scoring 96% on AIME 2025. kimi.ai   6.Gemma 3 12B (Google): Google’s open-weight model optimised for local deployment, strong for general reasoning and instruction following, and the go-to choice when you need a capable model running entirely on your own hardware. Free via Ollama or HuggingFace. ai.google.dev/gemma   7.Mistral Large 2: European-built, strong on coding and multilingual tasks, fully open weights, and OpenAI API-compatible so you can swap it in with zero code changes in most pipelines. mistral.ai   The gap between open-source and proprietary models is now single-digit benchmark points for most practical tasks. The real difference today is not capability, it is cost, privacy, and who controls your data.   Save this. Share it with a developer or researcher who is still paying for every AI token they use.   Which of these have you tested? Drop your experience below 👇   For more on AI and cybersecurity opportunities, subscribe to my YouTube channel: youtube.com/@victorakinode