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Most of us use Claude every day — and here are a handful of concepts you can learn over a weekend and be a Claude Power User! I put together a free course on the concepts behind working effectively with Claude: prompting, evaluating outputs, building workflows, using projects and knowledge, governance, and troubleshooting. It's built around the Claude Certified Associate Foundations exam blueprint — but you don't need to care about certification to get value from it. If you use Claude for everyday productivity, these concepts will make you noticeably better at it. What's inside: → 30 bite-sized lessons, each with a real weak-vs-improved prompt walkthrough → 90 practice questions + a full 60-question mock exam → 6 real business scenarios → A cheat sheet and completion certificate. No signup. No paywall. Runs in your browser. 🔗 Link Here https://jacinthpaul.github.io/Claude-Certified-Architect/associate-foundations/ #Claude #AI #Productivity #Anthropic #FreeCourse #ClaudeCode #ClaudeCertification

What is an AI Factory Model

😂 Prompt Engineering → Vibe Coding → Agentic Engineering → Loop Engineering... and then? This meme perfectly captures how fast AI engineering is evolving. While it's funny, it also reflects a real shift happening in software development. The future isn't about writing more code—it's about designing systems where AI agents collaborate, use tools, and automate complex workflows. 🚀 The key takeaway: Don't chase buzzwords. Build skills in: Agentic AI AI orchestration MCP (Model Context Protocol) Prompt engineering Context engineering AI-powered software architecture The engineers who learn to work with AI will have the biggest advantage. 💬 What's next after Agentic Engineering? Drop your prediction in the comments! #AI #AgenticAI #VibeCoding #PromptEngineering #Claude #LLM #SoftwareEngineering #GenAI #TechMemes #ArtificialIntelligence #Programming #Developers #MCP #AIEngineering #FutureOfWork

You know the type: long ponytail, oval glasses, been at the company longer than the version control. Ask him for 50 lines and he writes one. It works. Ponytail makes AI agents (Claude Code, Codex & more) stop over-engineering. Before writing code, it climbs a 7-rung ladder — does this even need to exist? does the stdlib do it? does the browser already have it? — and stops at the first rung that holds. 📉 The results on real sessions: • −54% code (up to −94% where agents over-build) • −20% cost • −27% time • 100% of safety guards kept — validation, security, accessibility never cut. Lazy, not negligent. ⚙️ Install in Claude Code (two prompts, he insists): /plugin marketplace add DietrichGebert/ponytail /plugin install ponytail@ponytail 🔧 Commands: /ponytail-review · /ponytail-audit · /ponytail-debt · /ponytail-gain · /ponytail ultra ⭐ Repo (MIT): https://github.com/DietrichGebert/ponytail He'd be proud. He won't say it. #AI #Coding #ClaudeCode #DevTools #AIagents #SoftwareEngineering #OpenSource #Programming My Linkedin: https://www.linkedin.com/in/jacinthp/ --------------------------------------------- Github: https://github.com/jacinthpaul --------------------------------------------- Website: https://www.programstrategyhq.com/ ---------------------------------------------

AI Podcast - How Large Language Models LLMs Are Built - Inside Claude or ChatGPT Curious about how ChatGPT, Claude, Gemini, and other Large Language Models (LLMs) are actually built? In this deep-dive podcast, we break down the complete lifecycle of building an LLM—from data collection and tokenization to transformer architecture, pre-training, fine-tuning, inference, and deployment. Whether you're a software developer, AI engineer, architect, technical program manager, or engineering leader, this episode will give you a solid mental model of modern LLM systems. In this episode you'll learn: • What Large Language Models (LLMs) are • How transformer models work • Tokens, embeddings, and attention explained • Pre-training vs Fine-tuning vs Instruction Tuning • RLHF (Reinforcement Learning from Human Feedback) • Retrieval-Augmented Generation (RAG) • AI Agents and Model Context Protocol (MCP) • GPU infrastructure and distributed training • Model evaluation, alignment, and safety • Inference, optimization, and deployment • Build vs Fine-tune vs Use Foundation Models • Industry best practices for building production AI systems This episode is designed for learning on the go—perfect for your commute, workout, or study session. **Disclaimer:** This podcast was AI-generated using Google NotebookLM, which synthesized insights from multiple reputable sources on Large Language Models. The content has been curated to provide a cohesive, educational overview. If you're interested in AI engineering, Generative AI, LLM architecture, prompt engineering, agentic AI, and modern software development, consider subscribing for more technical deep dives. #LLM #GenerativeAI #ArtificialIntelligence #MachineLearning #Transformer #ChatGPT #ClaudeAI #AIEngineering #SoftwareArchitecture #PromptEngineering #RAG #MCP #AIAgents #Developers #TechPodcast My Linkedin: https://www.linkedin.com/in/jacinthp/ --------------------------------------------- Github: https://github.com/jacinthpaul --------------------------------------------- Website: https://www.programstrategyhq.com/ ---------------------------------------------

🔥 Anthropic has expanded its Claude Learning Portfolio with Three New Certifications! 🎓🎓🎓 When the Claude Certified Architect – Foundations certification launched early this year, it quickly became one of the most sought-after AI certifications for practitioners building production AI systems. These certifications are currently available for employees of Anthropic Partner organizations. Here's the complete lineup: 🟢 1. Claude Certified Associate – Foundations (New) Designed for client-facing and delivery professionals who use Claude in day-to-day business scenarios. Covers prompt refinement, model selection, responsible AI, and applying Claude effectively in business workflows. 🔗 Register: https://lnkd.in/dWAe6w2y⁠� 💻 2. Claude Certified Developer – Foundations (New) Built for developers creating AI-powered applications. Topics include the Claude API, Claude Code, MCP servers, custom tools, and building production-ready AI agents. 🔗 Register: https://lnkd.in/dt58mcgx⁠� 🏗️ 3. Claude Certified Architect – Foundations (Existing) The original certification focused on architecting production AI systems using Claude. It covers agentic architectures, orchestration, prompt engineering, structured outputs, evaluations, and best practices for building enterprise AI solutions. 🔗 Register: https://lnkd.in/dCArPDmJ⁠� 🌍 4. Claude Certified Architect – Professional (New) Targeted at experienced solution architects designing enterprise-scale AI deployments. Covers architecture, governance, integrations, optimization, and scaling AI systems across organizations. 🔗 Register: https://lnkd.in/d79s3GqX⁠ It's great to see Anthropic creating role-specific learning paths instead of having everyone follow the same certification. Whether you're a consultant, developer, or architect, there's now a certification tailored to your role. If you're part of an Anthropic Partner organization, these are definitely worth checking out. Video resource to help you clear Claude Architect Foundations - https://lnkd.in/d3eqwJiS. #Anthropic #ClaudeAI #GenerativeAI #ArtificialIntelligence #Certification #AIEngineering #SolutionArchitecture #ClaudeCode #MCP #Developers #Learning #TechCareer Anthropic Claude Code