Info
Innovation is not just about creating the future, but about shaping it with purpose and…
Aktivitäten
239.778 Follower:innen
-
Andreas Horn hat dies repostet𝗧𝗵𝗶𝘀 𝗶𝘀 𝗵𝗮𝗻𝗱𝘀-𝗱𝗼𝘄𝗻 𝘁𝗵𝗲 𝗕𝗘𝗦𝗧 𝗮𝗻𝗱 𝗦𝗜𝗠𝗣𝗟𝗘𝗦𝗧 𝗶𝗹𝗹𝘂𝘀𝘁𝗿𝗮𝘁𝗶𝗼𝗻 𝗼𝗳 𝗔𝗜 𝘆𝗼𝘂'𝗹𝗹 𝗲𝘃𝗲𝗿 𝘀𝗲𝗲! ⬇️ A lot of companies picture AI as a straightforward process: Feed in data, sprinkle some AI, and BOOM → value appears! If only reality were that simple... 😅 𝗛𝗲𝗿𝗲’𝘀 𝘁𝗵𝗲 𝗥𝗲𝗮𝗹 𝗦𝘁𝗼𝗿𝘆 𝗼𝗳 𝗔𝗜: What actually happens behind the scenes is a complex journey that involves: 1️⃣ Data Sourcing, Cleaning, and Feature Engineering 2️⃣ Data Engineering and Modeling 3️⃣ Training, Evaluating, and Tuning Models 4️⃣ Operationalizing AI to ensure it delivers real-world value And let’s not forget the challenges: 𝗟𝗲𝗴𝗮𝗹, 𝗘𝘁𝗵𝗶𝗰𝗮𝗹, 𝗕𝗶𝗮𝘀, 𝗮𝗻𝗱 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗰𝗼𝗻𝘀𝘁𝗿𝗮𝗶𝗻𝘁𝘀 that need to be managed every step of the way! AI isn't a magic wand; it's a marathon of meticulous steps! Yes, there's tremendous value in AI. No, it's not as simple as using ChatGPT. 𝗣.𝗦. 𝗜 𝗿𝗲𝗰𝗲𝗻𝘁𝗹𝘆 𝗹𝗮𝘂𝗻𝗰𝗵𝗲𝗱 𝗮 𝗻𝗲𝘄𝘀𝗹𝗲𝘁𝘁𝗲𝗿 𝘄𝗵𝗲𝗿𝗲 𝗜 𝘀𝗵𝗮𝗿𝗲 𝘁𝗵𝗲 𝗯𝗲𝘀𝘁 𝘄𝗲𝗲𝗸𝗹𝘆 𝗱𝗿𝗼𝗽𝘀 𝗼𝗻 𝗔𝗜 𝗮𝗴𝗲𝗻𝘁𝘀, 𝗲𝗺𝗲𝗿𝗴𝗶𝗻𝗴 𝘄𝗼𝗿𝗸𝗳𝗹𝗼𝘄𝘀, 𝗮𝗻𝗱 𝗵𝗼𝘄 𝘁𝗼 𝘀𝘁𝗮𝘆 𝗮𝗵𝗲𝗮𝗱 𝘄𝗵𝗶𝗹𝗲 𝗼𝘁𝗵𝗲𝗿𝘀 𝘄𝗮𝘁𝗰𝗵 𝗳𝗿𝗼𝗺 𝘁𝗵𝗲 𝘀𝗶𝗱𝗲𝗹𝗶𝗻𝗲𝘀. 𝗜𝘁’𝘀 𝗳𝗿𝗲𝗲 — 𝗮𝗻𝗱 𝗮𝗹𝗿𝗲𝗮𝗱𝘆 𝗿𝗲𝗮𝗱 𝗯𝘆 𝟯𝟬,𝟬𝟬𝟬+ 𝗽𝗲𝗼𝗽𝗹𝗲. 𝗝𝗼𝗶𝗻 𝘁𝗵𝗲𝗺 𝗵𝗲𝗿𝗲: https://lnkd.in/dbf74Y9E
-
Andreas Horn hat dies geteilt𝟱𝟰 𝗖𝗹𝗮𝘂𝗱𝗲 𝗖𝗼𝗱𝗲 𝗿𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀 𝗶𝗻 𝗼𝗻𝗲 𝗽𝗹𝗮𝗰𝗲! OFFICIAL 1. → code.claude.com/docs — documentation 2. → https://lnkd.in/e2CHzd3s — Anthropic partners 3. → https://lnkd.in/ekUBf8a6 — free certification 4. → https://lnkd.in/eBZZGsMx — official MCP servers DIRECTORIES 5. → https://ecc.tools/ — tool directory 6. → https://lnkd.in/eMcajgZZ — mega repo 7. → https://lnkd.in/ebE2iDvV — MCP list 8. → https://lnkd.in/ecTbSBYN — skills list 9. → https://lnkd.in/ew3nvRbU — searchable skills 10. → https://lnkd.in/eX8f4kSn — visual skills browser 11. → https://lnkd.in/emQbMwbG — 50+ MCPs 12. → https://lnkd.in/ex_QW3Yj — MCP setup guide MCP SERVERS 13. → https://lnkd.in/eMC5dUqR — automate browsers 14. → https://lnkd.in/e88Kk_Ps — scrape websites 15. → https://lnkd.in/eESCpJPv — database + auth 16. → https://lnkd.in/epA2Fyej — query databases 17. → https://lnkd.in/eDth9q8c — manage PRs + issues 18. → https://lnkd.in/eYyMpbtU — live library docs 19. → https://lnkd.in/emH58D9U — catch errors 20. → github.com/Dokploy/mcp — deploy apps 21. → https://lnkd.in/ebWNdPYb — send messages 22. → https://lnkd.in/ezNEERvU — access workspace 23. → https://lnkd.in/ehPxjRQg — pull designs 24. → https://lnkd.in/evhKVKVx — track issues SKILLS (reusable instructions) 25. → https://lnkd.in/eppbgRaK — browser control 26. → https://lnkd.in/eEZn2dx4 — cleaner frontend 27. → https://lnkd.in/eERvv7Yt — Chrome tab control 28. → https://lnkd.in/ejAPia8C — full dev workflow 29. → https://lnkd.in/eurVxvjj — optimized settings 30. → https://lnkd.in/ezKrngB4 — visual interface 31. → github.com/tadaspetra/loop — recurring tasks 32. → https://lnkd.in/ekGS8CkQ — Claude + Cursor MULTIPLEXERS (run multiple agents) 33. → cmux.com — agent terminal 34. → https://www.gmux.sh/ — orchestrate agents 35. → https://lnkd.in/etvdGH4f — agent teams 36. → https://lnkd.in/e9zzpPYZ — agents on branches 37. → github.com/coder/mux — parallel dev AGENT FRAMEWORKS 38. → github.com/HKUDS/ClawTeam — coordinate agents 39. → https://lnkd.in/edAkCbzX — any tool to CLI 40. → https://lnkd.in/eJPYijMk — agent collab 41. → https://lnkd.in/e-XG7_cE — auto research 42. → https://lnkd.in/e4zXd3ms — agent control 43. → https://lnkd.in/eMt3sS7N — NousResearch 44. → https://lnkd.in/eJ-jUWpS — copilots in apps AUTOMATION 45. → https://lnkd.in/e9sarX3R — workflows in code 46. → https://lnkd.in/eC2CXG_W — Word + Excel 47. → https://lnkd.in/eNkyNc6U — stealth browser 48. → https://www.openlogs.dev/ — monitor agents 49. → https://lnkd.in/enZpCvES — chat SDK 50. → https://lnkd.in/eDKBPrPU — self-hosted ARTICLES 51. → https://lnkd.in/e9gfhHhm — best CLI tools 52. → https://lnkd.in/ePCzNw5w — top MCP servers 53. → https://lnkd.in/eqpBHzyi — MCP setup guide 54. → https://lnkd.in/eAJCnpbD — parallel agents Kudos to Charlie Hills 🦩 for collecting that list. ⇣ 𝗦𝘂𝗯𝘀𝗰𝗿𝗶𝗯𝗲 𝗵𝗲𝗿𝗲 𝗳𝗼𝗿 𝗺𝘆 𝗰𝗼𝗺𝗽𝗹𝗲𝘁𝗲 𝗖𝗹𝗮𝘂𝗱𝗲 𝗖𝗼𝗱𝗲 𝗴𝘂𝗶𝗱𝗲: https://lnkd.in/dbf74Y9E [𝟭𝟬𝟬% 𝗙𝗥𝗘𝗘]
-
Andreas Horn hat dies geteilt𝗧𝗵𝗲 𝗯𝗲𝘀𝘁 𝗬𝗼𝘂𝗧𝘂𝗯𝗲 𝗰𝗵𝗮𝗻𝗻𝗲𝗹 𝗶𝗳 𝘆𝗼𝘂 𝘄𝗮𝗻𝘁 𝘁𝗼 𝗯𝗿𝗲𝗮𝗸 𝗶𝗻𝘁𝗼 𝗔𝗜 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴. ⇣ Fully free. 600+ videos. Taught by experts. Great education on AI has never been more accessible. Channel: https://lnkd.in/ee63gTuk 𝗛𝗲𝗿𝗲 𝗮𝗿𝗲 𝟳 𝗼𝗳 𝗺𝘆 𝗳𝗮𝘃𝗼𝗿𝗶𝘁𝗲 𝘃𝗶𝗱𝗲𝗼𝘀: ⇣ 1 - The New Code - Sean Grove, OpenAI: https://lnkd.in/eFZ4cc43 2 - Don't Build Agents, Build Skills Instead - Barry Zhang & Mahesh Murag, Anthropic: https://lnkd.in/erPYBvHb 3 - No Vibes Allowed: Solving Hard Problems in Complex Codebases - Dex Horthy, HumanLayer 4 - How We Build Effective Agents - Barry Zhang, Anthropic: https://lnkd.in/eY8s854z 5 - Building Production-Ready RAG Applications - Jerry Liu: https://lnkd.in/eBrhnruC 6 - Building Agents with Model Context Protocol - Full Workshop with Mahesh Murag of Anthropic: https://lnkd.in/eZc_37TU 7 - Does AI Actually Boost Developer Productivity? (100k Devs Study) - Yegor Denisov-Blanch, Stanford: https://lnkd.in/eDjCJRpE ⇣ 𝗦𝘂𝗯𝘀𝗰𝗿𝗶𝗯𝗲 𝗵𝗲𝗿𝗲 𝘁𝗼 𝗮𝗰𝗰𝗲𝘀𝘀 𝘁𝗵𝗲 𝗺𝗼𝘀𝘁 𝗰𝗼𝗺𝗽𝗿𝗲𝗵𝗲𝗻𝘀𝗶𝘃𝗲 𝗴𝘂𝗶𝗱𝗲 𝗼𝗻 𝗵𝗼𝘄 𝘁𝗼 𝘂𝘀𝗲 𝗖𝗹𝗮𝘂𝗱𝗲 𝗖𝗼𝗱𝗲 𝗲𝗳𝗳𝗲𝗰𝘁𝗶𝘃𝗲𝗹𝘆: https://lnkd.in/dbf74Y9E
-
Andreas Horn hat dies geteilt𝗧𝗵𝗶𝘀 𝗶𝘀 𝗵𝗮𝗻𝗱𝘀-𝗱𝗼𝘄𝗻 𝘁𝗵𝗲 𝗕𝗘𝗦𝗧 𝗮𝗻𝗱 𝗦𝗜𝗠𝗣𝗟𝗘𝗦𝗧 𝗶𝗹𝗹𝘂𝘀𝘁𝗿𝗮𝘁𝗶𝗼𝗻 𝗼𝗳 𝗔𝗜 𝘆𝗼𝘂'𝗹𝗹 𝗲𝘃𝗲𝗿 𝘀𝗲𝗲! ⬇️ A lot of companies picture AI as a straightforward process: Feed in data, sprinkle some AI, and BOOM → value appears! If only reality were that simple... 😅 𝗛𝗲𝗿𝗲’𝘀 𝘁𝗵𝗲 𝗥𝗲𝗮𝗹 𝗦𝘁𝗼𝗿𝘆 𝗼𝗳 𝗔𝗜: What actually happens behind the scenes is a complex journey that involves: 1️⃣ Data Sourcing, Cleaning, and Feature Engineering 2️⃣ Data Engineering and Modeling 3️⃣ Training, Evaluating, and Tuning Models 4️⃣ Operationalizing AI to ensure it delivers real-world value And let’s not forget the challenges: 𝗟𝗲𝗴𝗮𝗹, 𝗘𝘁𝗵𝗶𝗰𝗮𝗹, 𝗕𝗶𝗮𝘀, 𝗮𝗻𝗱 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗰𝗼𝗻𝘀𝘁𝗿𝗮𝗶𝗻𝘁𝘀 that need to be managed every step of the way! AI isn't a magic wand; it's a marathon of meticulous steps! Yes, there's tremendous value in AI. No, it's not as simple as using ChatGPT. 𝗣.𝗦. 𝗜 𝗿𝗲𝗰𝗲𝗻𝘁𝗹𝘆 𝗹𝗮𝘂𝗻𝗰𝗵𝗲𝗱 𝗮 𝗻𝗲𝘄𝘀𝗹𝗲𝘁𝘁𝗲𝗿 𝘄𝗵𝗲𝗿𝗲 𝗜 𝘀𝗵𝗮𝗿𝗲 𝘁𝗵𝗲 𝗯𝗲𝘀𝘁 𝘄𝗲𝗲𝗸𝗹𝘆 𝗱𝗿𝗼𝗽𝘀 𝗼𝗻 𝗔𝗜 𝗮𝗴𝗲𝗻𝘁𝘀, 𝗲𝗺𝗲𝗿𝗴𝗶𝗻𝗴 𝘄𝗼𝗿𝗸𝗳𝗹𝗼𝘄𝘀, 𝗮𝗻𝗱 𝗵𝗼𝘄 𝘁𝗼 𝘀𝘁𝗮𝘆 𝗮𝗵𝗲𝗮𝗱 𝘄𝗵𝗶𝗹𝗲 𝗼𝘁𝗵𝗲𝗿𝘀 𝘄𝗮𝘁𝗰𝗵 𝗳𝗿𝗼𝗺 𝘁𝗵𝗲 𝘀𝗶𝗱𝗲𝗹𝗶𝗻𝗲𝘀. 𝗜𝘁’𝘀 𝗳𝗿𝗲𝗲 — 𝗮𝗻𝗱 𝗮𝗹𝗿𝗲𝗮𝗱𝘆 𝗿𝗲𝗮𝗱 𝗯𝘆 𝟯𝟬,𝟬𝟬𝟬+ 𝗽𝗲𝗼𝗽𝗹𝗲. 𝗝𝗼𝗶𝗻 𝘁𝗵𝗲𝗺 𝗵𝗲𝗿𝗲: https://lnkd.in/dbf74Y9E
-
Andreas Horn hat dies geteiltStanford University 𝗽𝘂𝘁 𝗶𝘁𝘀 𝘄𝗼𝗿𝗹𝗱-𝗰𝗹𝗮𝘀𝘀 𝗔𝗜 𝗰𝘂𝗿𝗿𝗶𝗰𝘂𝗹𝘂𝗺 𝗼𝗻𝗹𝗶𝗻𝗲 [𝗙𝗥𝗘𝗘]. Each course is taught by Stanford professors, recorded, and free to access. If you master even half of this, you’ll understand more than 90% of people who just “use AI.” 𝟭. 𝗖𝗦𝟮𝟮𝟭 - 𝗔𝗿𝘁𝗶𝗳𝗶𝗰𝗶𝗮𝗹 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 → Foundations of AI: search, reasoning, planning, decision-making: https://lnkd.in/dyu3FsK8 𝟮. 𝗖𝗦𝟮𝟮𝟵 - 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 (𝗔𝗻𝗱𝗿𝗲𝘄 𝗡𝗴) → Supervised learning, unsupervised learning, deep dive into algorithms. https://lnkd.in/da4J48v5 𝟯. 𝗖𝗦𝟮𝟯𝟬 - 𝗗𝗲𝗲𝗽 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 (𝗔𝗻𝗱𝗿𝗲𝘄 𝗡𝗴) → Neural networks, CNNs, RNNs, best practices for building deep models. https://lnkd.in/dmdgrn4Y 𝟰. 𝗖𝗦𝟮𝟮𝟵𝗠 - 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗧𝗵𝗲𝗼𝗿𝘆 → Mathematical underpinnings and rigorous ML proofs. https://lnkd.in/dKGxgaCH 𝟱. 𝗖𝗦𝟮𝟯𝟰 - 𝗥𝗲𝗶𝗻𝗳𝗼𝗿𝗰𝗲𝗺𝗲𝗻𝘁 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 → Markov decision processes, Q-learning, policy gradients. https://lnkd.in/dWgsTMqY 𝟲. 𝗖𝗦𝟮𝟮𝟰𝗨 - 𝗡𝗮𝘁𝘂𝗿𝗮𝗹 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗨𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱𝗶𝗻𝗴 → Semantic analysis, dialogue systems, language meaning. https://lnkd.in/daxDtGpb 𝟳. 𝗖𝗦𝟮𝟮𝟰𝗡 - 𝗡𝗟𝗣 𝘄𝗶𝘁𝗵 𝗗𝗲𝗲𝗽 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 → Word embeddings, transformers, modern NLP architectures. https://lnkd.in/d3s2GwSh Enjoy! 𝗣.𝗦. 𝗜 𝗿𝗲𝗰𝗲𝗻𝘁𝗹𝘆 𝗹𝗮𝘂𝗻𝗰𝗵𝗲𝗱 𝗮 𝗻𝗲𝘄𝘀𝗹𝗲𝘁𝘁𝗲𝗿 𝘄𝗵𝗲𝗿𝗲 𝗜 𝘀𝗵𝗮𝗿𝗲 𝘁𝗵𝗲 𝗯𝗲𝘀𝘁 𝘄𝗲𝗲𝗸𝗹𝘆 𝗱𝗿𝗼𝗽𝘀 𝗼𝗻 𝗔𝗜 𝗮𝗴𝗲𝗻𝘁𝘀, 𝗲𝗺𝗲𝗿𝗴𝗶𝗻𝗴 𝘄𝗼𝗿𝗸𝗳𝗹𝗼𝘄𝘀, 𝗮𝗻𝗱 𝗵𝗼𝘄 𝘁𝗼 𝘀𝘁𝗮𝘆 𝗮𝗵𝗲𝗮𝗱 𝘄𝗵𝗶𝗹𝗲 𝗼𝘁𝗵𝗲𝗿𝘀 𝘄𝗮𝘁𝗰𝗵 𝗳𝗿𝗼𝗺 𝘁𝗵𝗲 𝘀𝗶𝗱𝗲𝗹𝗶𝗻𝗲𝘀. 𝗜𝘁’𝘀 𝗳𝗿𝗲𝗲 — 𝗮𝗻𝗱 𝗮𝗹𝗿𝗲𝗮𝗱𝘆 𝗿𝗲𝗮𝗱 𝗯𝘆 𝟯𝟬,𝟬𝟬𝟬+ 𝗽𝗲𝗼𝗽𝗹𝗲. 𝗝𝗼𝗶𝗻 𝘁𝗵𝗲𝗺 𝗵𝗲𝗿𝗲: https://lnkd.in/dbf74Y9E
-
Andreas Horn hat dies geteilt𝗖𝗹𝗮𝘂𝗱𝗲 𝗖𝗼𝗱𝗲 𝗺𝗶𝗴𝗵𝘁 𝗯𝗲 𝘁𝗵𝗲 𝗵𝗶𝗴𝗵𝗲𝘀𝘁-𝗹𝗲𝘃𝗲𝗿𝗮𝗴𝗲 𝘀𝗸𝗶𝗹𝗹 𝘆𝗼𝘂 𝗰𝗮𝗻 𝗹𝗲𝗮𝗿𝗻 𝗶𝗻 𝟮𝟬𝟮𝟲.⤵ But most people are still guessing their way through Claude Code. 𝗛𝗲𝗿𝗲 𝗮𝗿𝗲 𝘁𝗵𝗲 𝟭𝟮 𝗰𝗼𝗿𝗲 𝗳𝗲𝗮𝘁𝘂𝗿𝗲𝘀 𝘆𝗼𝘂 𝗻𝗲𝗲𝗱 𝘁𝗼 𝗸𝗻𝗼𝘄, 𝘄𝗵𝗲𝗻 𝘆𝗼𝘂 𝘄𝗼𝗿𝗸 𝘄𝗶𝘁𝗵 𝗖𝗹𝗮𝘂𝗱𝗲 𝗖𝗼𝗱𝗲: ⤵ 𝟭. 𝗖𝗟𝗔𝗨𝗗𝗘.𝗺𝗱: A project memory file that anchors the agent to your specific stack and coding rules. 𝟮. 𝗣𝗲𝗿𝗺𝗶𝘀𝘀𝗶𝗼𝗻𝘀: Granular safety rails to whitelist or block specific tools on a per-session basis. 𝟯. 𝗣𝗹𝗮𝗻 𝗠𝗼𝗱𝗲: A mandatory review step where you approve or reject logic before any code is executed. (Trust but verify.) 𝟰. 𝗖𝗵𝗲𝗰𝗸𝗽𝗼𝗶𝗻𝘁𝘀: Automatic git snapshots that let you roll back the clock when an experiment goes south. 𝟱. 𝗦𝗸𝗶𝗹𝗹𝘀: Reusable instructions stored locally to give Claude permanent new capabilities. 𝟲. 𝗛𝗼𝗼𝗸𝘀: Custom shell scripts that fire automatically before or after tool use. 𝟳. 𝗠𝗖𝗣: The protocol that plugs Claude directly into your enterprise databases and APIs. 𝟴. 𝗣𝗹𝘂𝗴𝗶𝗻𝘀: Third-party integrations like Docker or Pytest bolted onto the core interface. 𝟵. 𝗖𝗼𝗻𝘁𝗲𝙭𝘁: Active management of files and history to keep the model from getting distracted. 𝟭𝟬. 𝗦𝗹𝗮𝘀𝗵 𝗖𝗼𝗺𝗺𝗮𝗻𝗱𝘀: Custom terminal shortcuts for recurring tasks you're tired of typing manually. 𝟭𝟭. 𝗖𝗼𝗺𝗽𝗮𝗰𝘁𝗶𝗼𝗻: Squashing 100k tokens into 10k to prevent context rot and keep the logic sharp. 𝟭𝟮. 𝗦𝘂𝗯𝗮𝗴𝗲𝗻𝘁𝘀: Spawning parallel workers to crush complex workflows while you stay on the main thread. Which one of these are you actually using in your daily workflow? (I'm betting most haven't touched Hooks yet.) Kudos to ByteByteGo for the good overview. ⇣ 𝗘𝘃𝗲𝗿𝘆 𝘄𝗲𝗲𝗸, 𝗜 𝘀𝗵𝗮𝗿𝗲 𝗼𝗻𝗲 𝗱𝗲𝗲𝗽 𝗱𝗶𝘃𝗲 𝗼𝗻 𝗵𝗼𝘄 𝘁𝗼 𝗶𝗺𝗽𝗿𝗼𝘃𝗲 𝘁𝗵𝗲 𝘄𝗮𝘆 𝘆𝗼𝘂 𝘄𝗼𝗿𝗸 𝘄𝗶𝘁𝗵 𝗔𝗜 𝗮𝗴𝗲𝗻𝘁𝘀 - 𝗰𝗹𝗲𝗮𝗿, 𝗮𝗰𝘁𝗶𝗼𝗻𝗮𝗯𝗹𝗲, 𝗮𝗻𝗱 𝗯𝘂𝗶𝗹𝘁 𝗳𝗼𝗿 𝗿𝗲𝗮𝗹-𝘄𝗼𝗿𝗹𝗱 𝘂𝘀𝗲 - 𝗽𝗹𝘂𝘀 𝘁𝗵𝗲 𝗺𝗼𝘀𝘁 𝗿𝗲𝗹𝗲𝘃𝗮𝗻𝘁 𝗶𝗻𝘀𝗶𝗴𝗵𝘁𝘀 𝘁𝗼 𝗵𝗲𝗹𝗽 𝘆𝗼𝘂 𝘀𝘁𝗮𝘆 𝗮𝗵𝗲𝗮𝗱: https://lnkd.in/dbf74Y9E
-
Andreas Horn hat dies geteilt𝗜 𝗯𝗲𝗹𝗶𝗲𝘃𝗲 𝗖𝗹𝗮𝘂𝗱𝗲 𝗶𝘀 𝘁𝗵𝗲 𝗺𝗼𝘀𝘁 𝗽𝗼𝘄𝗲𝗿𝗳𝘂𝗹 𝗔𝗜 𝗺𝗼𝗱𝗲𝗹 𝗳𝗼𝗿 𝗲𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗿𝗶𝗴𝗵𝘁 𝗻𝗼𝘄. ⇣ And I get asked on a daily base how to get started. The internet is drowning in tutorials, but most of them just scratch the surface or pad the output with filler. I’m currently writing a book on Claude (Code), so I’ve essentially sanded down every whitepaper, tutorial and repo in the universe (well that's maybe a little bit of exaggeration). And I’ve seen what works and what’s just slideware. Below I mapped out a sharp 2-hour path to move you from zero to building actual agentic workflows(it’s probably the best use of a Saturday morning or your Easter holidays.) 𝗛𝗲𝗿𝗲 𝘄𝗲 𝗴𝗼 [𝗮𝗹𝗹 𝗰𝗼𝘂𝗿𝘀𝗲𝘀 𝗮𝗿𝗲 𝗳𝗿𝗲𝗲]: ⇣ 𝟭. 𝗧𝗵𝗲 𝗙𝗼𝘂𝗻𝗱𝗮𝘁𝗶𝗼𝗻𝘀 (𝗭𝗲𝗿𝗼 𝘁𝗼 𝗢𝗻𝗲): → Start with Claude 101. If you don't understand how it reasons, you can't lead the people using it: https://lnkd.in/gExK_Vir → Then, move to Projects. This is how you build a persistent context for your specific business unit: https://lnkd.in/gdppFqHQ 𝟮. 𝗕𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄𝘀 → Use Artifacts to prototype UI in minutes. It's the fastest way to turn a whiteboard sketch into a functional tool: https://lnkd.in/gik4zZpY → Master Cowork. This is the bridge between "chatting" and actually shipping work: https://lnkd.in/gfqqSd6W → Build specific Agent Skills to automate the repeatable tasks that clog your calendar: https://lnkd.in/g2W4wHcR 𝟯. 𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗦𝗰𝗮𝗹𝗲 & 𝗗𝗮𝘁𝗮 → Connect Claude to your actual data stack using MCP (Model Context Protocol). This is where the real value lives: https://lnkd.in/ejpCq_wX → Master Computer Use to handle the manual click-work that slows your team down: https://lnkd.in/gKJwcbaj → Focus on Enterprise Fluency. Stop thinking about tools and start thinking about frameworks: https://lnkd.in/gHN2a9Gw And to keep learning you can visit the Anthropic Tutorials hub: https://lnkd.in/g2_xAMBB I believe the gap between those who talk about AI and those who build with it is widening every week. You don't need a PhD. You just need to get your hands dirty and start sanding down your own processes. ⇣ 𝗘𝘃𝗲𝗿𝘆 𝘄𝗲𝗲𝗸, 𝗜 𝘀𝗵𝗮𝗿𝗲 𝗼𝗻𝗲 𝗱𝗲𝗲𝗽 𝗱𝗶𝘃𝗲 𝗼𝗻 𝗵𝗼𝘄 𝘁𝗼 𝗶𝗺𝗽𝗿𝗼𝘃𝗲 𝘁𝗵𝗲 𝘄𝗮𝘆 𝘆𝗼𝘂 𝘄𝗼𝗿𝗸 𝘄𝗶𝘁𝗵 𝗔𝗜 𝗮𝗴𝗲𝗻𝘁𝘀 - 𝗰𝗹𝗲𝗮𝗿, 𝗮𝗰𝘁𝗶𝗼𝗻𝗮𝗯𝗹𝗲, 𝗮𝗻𝗱 𝗯𝘂𝗶𝗹𝘁 𝗳𝗼𝗿 𝗿𝗲𝗮𝗹-𝘄𝗼𝗿𝗹𝗱 𝘂𝘀𝗲 - 𝗽𝗹𝘂𝘀 𝘁𝗵𝗲 𝗺𝗼𝘀𝘁 𝗿𝗲𝗹𝗲𝘃𝗮𝗻𝘁 𝗶𝗻𝘀𝗶𝗴𝗵𝘁𝘀 𝘁𝗼 𝗵𝗲𝗹𝗽 𝘆𝗼𝘂 𝘀𝘁𝗮𝘆 𝗮𝗵𝗲𝗮𝗱: https://lnkd.in/dbf74Y9E
-
Andreas Horn hat dies geteilt𝗙𝗼𝗿 𝘁𝗵𝗲 𝗳𝗶𝗿𝘀𝘁 𝗳𝗼𝘂𝗿 𝘄𝗲𝗲𝗸𝘀 𝗼𝗳 𝘂𝘀𝗶𝗻𝗴 𝗖𝗹𝗮𝘂𝗱𝗲 𝗖𝗼𝗱𝗲, 𝗜 𝗵𝗮𝗱 𝗻𝗼 𝗖𝗟𝗔𝗨𝗗𝗘.𝗺𝗱 𝗳𝗶𝗹𝗲 𝗮𝘁 𝗮𝗹𝗹. I know. I know. I’d read that it was important, bookmarked three articles about it, and then never actually wrote one because I told myself I’d do it “properly” once the project was more stable. But the .claude folder is the nervous system of your agentic workflow. If it is empty, your agent is flying blind, hallucinating your build commands, and guessing your architecture (which usually ends in a broken build and a wasted token budget.) A good .claude/ setup helps solve a few common problems: → repeating the same instructions → mixing team rules with personal preferences → having no reusable setup for common tasks I am more convinced that ever: If you want Claude to actually ship production-grade code, you have to sand down the environment it operates in. 𝗧𝗵𝗲 𝗽𝗮𝗿𝘁𝘀 𝘁𝗵𝗮𝘁 𝗮𝗿𝗲 𝗺𝗼𝘀𝘁 𝘂𝘀𝗲𝗳𝘂𝗹 𝗶𝗻 𝗽𝗿𝗮𝗰𝘁𝗶𝗰𝗲: ⤵ 𝟭. 𝗧𝗵𝗲 𝗖𝗟𝗔𝗨𝗗𝗘.𝗺𝗱 𝗟𝗲𝗮𝗻-𝗠𝗲𝗱𝗶𝘂𝗺 Keep this under 200 lines. (If it gets too bloated, Claude starts "summarizing" your instructions mid-task.) Focus on the non-obvious stuff: your Zod validation patterns, why you use a specific logger, and your naming conventions for handlers. 𝟮. 𝗣𝗮𝘁𝗵-𝗦𝗰𝗼𝗽𝗲𝗱 𝗥𝘂𝗹𝗲𝘀 Use the .claude/rules/ folder for logic that only matters in specific places. If the agent is working in /src/api, it does not need to know your React component styling rules. This keeps the context window clean and the outputs sharp. 𝟯. 𝗣𝗿𝗲𝗧𝗼𝗼𝗹𝗨𝘀𝗲 𝗮𝘀 𝗮 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗚𝗮𝘁𝗲 You can bolt on scripts to block dangerous commands before they run. I use a simple bash firewall to stop "rm -rf" or accidental force pushes. Use exit code 2 to force the agent to stop and self-correct. (It is much cheaper than debugging a deleted database.) 𝟰. 𝗦𝗽𝗲𝗰𝗶𝗮𝗹𝗶𝘇𝗲𝗱 𝗦𝘂𝗯𝗮𝗴𝗲𝗻𝘁𝘀 I have been testing personas in .claude/agents/. A "security-auditor" agent should only have Read and Grep access. It has no business writing files. This isolation is how you scale agentic workflows without the chaos. The .claude folder is not just a config file. It is the nervous system of your local development and keeping it under 200 lines might be the most important practice to consider. Good breakdown can be found at Daily Dose of Data Science: https://lnkd.in/evEV-iap ⇣ 𝗘𝘃𝗲𝗿𝘆 𝘄𝗲𝗲𝗸, 𝗜 𝘀𝗵𝗮𝗿𝗲 𝗼𝗻𝗲 𝗱𝗲𝗲𝗽 𝗱𝗶𝘃𝗲 𝗼𝗻 𝗵𝗼𝘄 𝘁𝗼 𝗶𝗺𝗽𝗿𝗼𝘃𝗲 𝘁𝗵𝗲 𝘄𝗮𝘆 𝘆𝗼𝘂 𝘄𝗼𝗿𝗸 𝘄𝗶𝘁𝗵 𝗔𝗜 𝗮𝗴𝗲𝗻𝘁𝘀 - 𝗰𝗹𝗲𝗮𝗿, 𝗮𝗰𝘁𝗶𝗼𝗻𝗮𝗯𝗹𝗲, 𝗮𝗻𝗱 𝗯𝘂𝗶𝗹𝘁 𝗳𝗼𝗿 𝗿𝗲𝗮𝗹-𝘄𝗼𝗿𝗹𝗱 𝘂𝘀𝗲 - 𝗽𝗹𝘂𝘀 𝘁𝗵𝗲 𝗺𝗼𝘀𝘁 𝗿𝗲𝗹𝗲𝘃𝗮𝗻𝘁 𝗶𝗻𝘀𝗶𝗴𝗵𝘁𝘀 𝘁𝗼 𝗵𝗲𝗹𝗽 𝘆𝗼𝘂 𝘀𝘁𝗮𝘆 𝗮𝗵𝗲𝗮𝗱: https://lnkd.in/dbf74Y9E
-
Andreas Horn hat dies geteilt𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜𝗢𝗽𝘀 𝗶𝘀 𝗮𝗯𝗼𝘂𝘁 𝘁𝗼 𝗿𝗲𝘄𝗶𝗿𝗲 𝗵𝗼𝘄 𝗲𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗜𝗧 𝗼𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝘀 𝗮𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝘄𝗼𝗿𝗸. ⤵ Capgemini + IBM just published a joint reference architecture for Agentic AIOps across hybrid cloud, on-prem, and mainframe environments. 𝗟𝗲𝘁'𝘀 𝗯𝗿𝗲𝗮𝗸 𝗶𝘁 𝗱𝗼𝘄𝗻: ⤵ 𝟭. 𝗧𝗵𝗲 𝗰𝗼𝗿𝗲 𝘀𝗵𝗶𝗳𝘁 → Traditional AIOps answers "what is happening and why?" → Agentic AIOps answers "what should be done?" and then executes it autonomously, within policy guardrails. That's a massive jump. From pattern recognition to goal-driven agency. 𝟮. 𝗧𝗵𝗲 𝗮𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 𝗶𝘀 𝗮𝗻 𝟴-𝘀𝘁𝗲𝗽 𝗰𝗹𝗼𝘀𝗲𝗱 𝗹𝗼𝗼𝗽 → Signals come in from cloud, network, apps, or IBM Z → Data gets enriched in the Observability & Knowledge Fabric → MCP Gateway enforces policy and routes to agents → Enterprise Agents reason over goals, policies and context → Multi-agent coordination resolves conflicts → Execution runs through Terraform, Ansible, Vault → Actions span hybrid cloud and mainframe consistently → Outcomes feed back into a vector database so agents learn from results That last step is what separates this from a fancy automation script. 𝟯. 𝗠𝗖𝗣 𝗮𝘀 𝘁𝗵𝗲 𝗴𝗹𝘂𝗲 → The Model Context Protocol (MCP) Gateway sits at the center. It standardizes how agents access tools, enforces security and rate-limiting Without a governed integration layer, agentic systems become an audit nightmare at enterprise scale. 𝟰. 𝗛𝘂𝗺𝗮𝗻-𝗶𝗻-𝘁𝗵𝗲-𝗹𝗼𝗼𝗽 𝗶𝘀 𝗮𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝗲𝗱 𝗶𝗻, 𝗻𝗼𝘁 𝗯𝗼𝗹𝘁𝗲𝗱 𝗼𝗻 → Two mechanisms: static interrupts (hard stops at critical workflow points) and dynamic interrupts (the agent itself asks for help when confidence is low). → Built with LangGraph for persistent execution states. The agent pauses and waits until a human approves. That's how you run autonomous remediation in production without losing sleep. 𝟱. 𝗧𝗵𝗲 𝗻𝘂𝗺𝗯𝗲𝗿𝘀 𝘁𝗵𝗮𝘁 𝗺𝗮𝘁𝘁𝗲𝗿 → MTTR reduction of up to 80% with tools like Instana → Agent success rate benchmark: 85%+ for production-grade → Hallucination rate target: below 2% → Bug fix cost: $80-100 in dev vs. $7,600+ in production (a 100x difference) That last one is the economic case for shift-left AIOps in a single stat. What most people get wrong about Agentic AIOps: they think it's about removing humans. It's about changing what humans do. The SRE goes from firefighter to strategic governor. The SysAdmin goes from clicking through runbooks to approving AI-generated remediation cards on Slack. The timeline for full closed-loop autonomy in production? I think we're 2-3 years out for most enterprises. But the architecture to get there is already being built. Full breakdown and architecture here: https://shorturl.at/oqj5r 𝗣.𝗦.: 𝗜𝗳 𝘆𝗼𝘂 𝘄𝗮𝗻𝘁 𝗺𝘆 𝗮𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜 𝗽𝗹𝗮𝘆𝗯𝗼𝗼𝗸, 𝘀𝘂𝗯𝘀𝗰𝗿𝗶𝗯𝗲 𝘁𝗼 𝗺𝘆 𝗻𝗲𝘄𝘀𝗹𝗲𝘁𝘁𝗲𝗿. 𝟯𝟬,𝟬𝟬𝟬+ 𝗽𝗲𝗼𝗽𝗹𝗲 𝗮𝗿𝗲 𝗮𝗹𝗿𝗲𝗮𝗱𝘆 𝗶𝗻𝘀𝗶𝗱𝗲: https://lnkd.in/dbf74Y9E
Andreas Horn hat auf einen Kommentar geantwortet
11 Std.
Zahaira Lucia T. 👍
-
Andreas Horn gefällt dasAndreas Horn gefällt dasI open LinkedIn and I don’t know what it's more exponential: the evolution of AI or the involution of human intelligence. Five years ago, I remember real good discussions. People discussing ML architectures, production pipelines, builders shipping cool stuff. Then three years ago ChatGPT arrived… and suddenly everyone became an expert in “GenAI.” After three years of talking about GenAI nonstop, apparently that wasn’t enough. We needed a new fancy word. Now we've entered the new dimension of AI agents At this point, I’d say 1 out of 2 people posting about AI agents probably couldn’t clearly explain the difference between an LLM and an agent. And sometimes it gets even better: The comments are likely written by AI agents… discussing AI agents… on behalf of humans. We’ve reached a point where agents debate agents while humans watch. is that progress? #ai #agents #hype
-
Andreas Horn gefällt dasAndreas Horn gefällt dasIs your current job Process or Judgment role will have bigger repercussions https://lnkd.in/dchYgEBwWhy You'll Get Laid Off in the AI Era — 3 Diagnostics to Find Out NowWhy You'll Get Laid Off in the AI Era — 3 Diagnostics to Find Out Now
-
Andreas Horn hat darauf reagiert𝟱𝟰 𝗖𝗹𝗮𝘂𝗱𝗲 𝗖𝗼𝗱𝗲 𝗿𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀 𝗶𝗻 𝗼𝗻𝗲 𝗽𝗹𝗮𝗰𝗲! OFFICIAL 1. → code.claude.com/docs — documentation 2. → https://lnkd.in/e2CHzd3s — Anthropic partners 3. → https://lnkd.in/ekUBf8a6 — free certification 4. → https://lnkd.in/eBZZGsMx — official MCP servers DIRECTORIES 5. → https://ecc.tools/ — tool directory 6. → https://lnkd.in/eMcajgZZ — mega repo 7. → https://lnkd.in/ebE2iDvV — MCP list 8. → https://lnkd.in/ecTbSBYN — skills list 9. → https://lnkd.in/ew3nvRbU — searchable skills 10. → https://lnkd.in/eX8f4kSn — visual skills browser 11. → https://lnkd.in/emQbMwbG — 50+ MCPs 12. → https://lnkd.in/ex_QW3Yj — MCP setup guide MCP SERVERS 13. → https://lnkd.in/eMC5dUqR — automate browsers 14. → https://lnkd.in/e88Kk_Ps — scrape websites 15. → https://lnkd.in/eESCpJPv — database + auth 16. → https://lnkd.in/epA2Fyej — query databases 17. → https://lnkd.in/eDth9q8c — manage PRs + issues 18. → https://lnkd.in/eYyMpbtU — live library docs 19. → https://lnkd.in/emH58D9U — catch errors 20. → github.com/Dokploy/mcp — deploy apps 21. → https://lnkd.in/ebWNdPYb — send messages 22. → https://lnkd.in/ezNEERvU — access workspace 23. → https://lnkd.in/ehPxjRQg — pull designs 24. → https://lnkd.in/evhKVKVx — track issues SKILLS (reusable instructions) 25. → https://lnkd.in/eppbgRaK — browser control 26. → https://lnkd.in/eEZn2dx4 — cleaner frontend 27. → https://lnkd.in/eERvv7Yt — Chrome tab control 28. → https://lnkd.in/ejAPia8C — full dev workflow 29. → https://lnkd.in/eurVxvjj — optimized settings 30. → https://lnkd.in/ezKrngB4 — visual interface 31. → github.com/tadaspetra/loop — recurring tasks 32. → https://lnkd.in/ekGS8CkQ — Claude + Cursor MULTIPLEXERS (run multiple agents) 33. → cmux.com — agent terminal 34. → https://www.gmux.sh/ — orchestrate agents 35. → https://lnkd.in/etvdGH4f — agent teams 36. → https://lnkd.in/e9zzpPYZ — agents on branches 37. → github.com/coder/mux — parallel dev AGENT FRAMEWORKS 38. → github.com/HKUDS/ClawTeam — coordinate agents 39. → https://lnkd.in/edAkCbzX — any tool to CLI 40. → https://lnkd.in/eJPYijMk — agent collab 41. → https://lnkd.in/e-XG7_cE — auto research 42. → https://lnkd.in/e4zXd3ms — agent control 43. → https://lnkd.in/eMt3sS7N — NousResearch 44. → https://lnkd.in/eJ-jUWpS — copilots in apps AUTOMATION 45. → https://lnkd.in/e9sarX3R — workflows in code 46. → https://lnkd.in/eC2CXG_W — Word + Excel 47. → https://lnkd.in/eNkyNc6U — stealth browser 48. → https://www.openlogs.dev/ — monitor agents 49. → https://lnkd.in/enZpCvES — chat SDK 50. → https://lnkd.in/eDKBPrPU — self-hosted ARTICLES 51. → https://lnkd.in/e9gfhHhm — best CLI tools 52. → https://lnkd.in/ePCzNw5w — top MCP servers 53. → https://lnkd.in/eqpBHzyi — MCP setup guide 54. → https://lnkd.in/eAJCnpbD — parallel agents Kudos to Charlie Hills 🦩 for collecting that list. ⇣ 𝗦𝘂𝗯𝘀𝗰𝗿𝗶𝗯𝗲 𝗵𝗲𝗿𝗲 𝗳𝗼𝗿 𝗺𝘆 𝗰𝗼𝗺𝗽𝗹𝗲𝘁𝗲 𝗖𝗹𝗮𝘂𝗱𝗲 𝗖𝗼𝗱𝗲 𝗴𝘂𝗶𝗱𝗲: https://lnkd.in/dbf74Y9E [𝟭𝟬𝟬% 𝗙𝗥𝗘𝗘]
-
Andreas Horn hat darauf reagiert𝗧𝗵𝗲 𝗯𝗲𝘀𝘁 𝗬𝗼𝘂𝗧𝘂𝗯𝗲 𝗰𝗵𝗮𝗻𝗻𝗲𝗹 𝗶𝗳 𝘆𝗼𝘂 𝘄𝗮𝗻𝘁 𝘁𝗼 𝗯𝗿𝗲𝗮𝗸 𝗶𝗻𝘁𝗼 𝗔𝗜 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴. ⇣ Fully free. 600+ videos. Taught by experts. Great education on AI has never been more accessible. Channel: https://lnkd.in/ee63gTuk 𝗛𝗲𝗿𝗲 𝗮𝗿𝗲 𝟳 𝗼𝗳 𝗺𝘆 𝗳𝗮𝘃𝗼𝗿𝗶𝘁𝗲 𝘃𝗶𝗱𝗲𝗼𝘀: ⇣ 1 - The New Code - Sean Grove, OpenAI: https://lnkd.in/eFZ4cc43 2 - Don't Build Agents, Build Skills Instead - Barry Zhang & Mahesh Murag, Anthropic: https://lnkd.in/erPYBvHb 3 - No Vibes Allowed: Solving Hard Problems in Complex Codebases - Dex Horthy, HumanLayer 4 - How We Build Effective Agents - Barry Zhang, Anthropic: https://lnkd.in/eY8s854z 5 - Building Production-Ready RAG Applications - Jerry Liu: https://lnkd.in/eBrhnruC 6 - Building Agents with Model Context Protocol - Full Workshop with Mahesh Murag of Anthropic: https://lnkd.in/eZc_37TU 7 - Does AI Actually Boost Developer Productivity? (100k Devs Study) - Yegor Denisov-Blanch, Stanford: https://lnkd.in/eDjCJRpE ⇣ 𝗦𝘂𝗯𝘀𝗰𝗿𝗶𝗯𝗲 𝗵𝗲𝗿𝗲 𝘁𝗼 𝗮𝗰𝗰𝗲𝘀𝘀 𝘁𝗵𝗲 𝗺𝗼𝘀𝘁 𝗰𝗼𝗺𝗽𝗿𝗲𝗵𝗲𝗻𝘀𝗶𝘃𝗲 𝗴𝘂𝗶𝗱𝗲 𝗼𝗻 𝗵𝗼𝘄 𝘁𝗼 𝘂𝘀𝗲 𝗖𝗹𝗮𝘂𝗱𝗲 𝗖𝗼𝗱𝗲 𝗲𝗳𝗳𝗲𝗰𝘁𝗶𝘃𝗲𝗹𝘆: https://lnkd.in/dbf74Y9E
Berufserfahrung und Ausbildung
-
IBM
Gesamte Berufserfahrung von Andreas Horn anzeigen
Jobbezeichnung, Beschäftigungsdauer und mehr ansehen.
oder
Bescheinigungen und Zertifikate
Veröffentlichungen
-
Future of AI Agents
Horizont
Veröffentlichung anzeigenContributed to the latest whitepaper on AI, where I explored the rise of AI Agents and their implications for security, workforce transformation, and future operating models. The piece highlights both the opportunities and risks of agentic systems, and examines what this shift means for the future of work.
-
AI and the future of education: disruptions, dilemmas and directions
UNESCO
Veröffentlichung anzeigenContributed to UNESCO’s 2025 global report AI and the Future of Education: Disruptions, Dilemmas and Directions. My piece examines how AI can reshape classrooms, empower teachers, and address the global skills crisis — while emphasizing values like equity, human dignity, and pedagogy-first adoption.
Auszeichnungen/Preise
-
IBM Growth Award 2023 - Gold Level
IBM
Top Attainment Award FY 23.
-
IBM Client and Partner Success Award
IBM
Awarded four times in 2022 for creating new business and opportunities.
-
IBM GBS Service Excellence Award (SEA)
IBM
Received award for successfully delivering a highly-complex outsourcing project under budget and ahead of schedule, thanks to great client collaboration and effective team coordination.
-
IBM Manager's Choice Award
IBM
-
IBM Manager's Choice Award
IBM
-
Graduated with Honors
University of Bremen
Awarded based on academic merit.
-
Chinese Scholarship Council (CSC)
Government Scholarship of People's Republic of China (中华人民共和国)
Awarded CSC Scholarship Category A.
-
DAAD Scholarship (Deutscher Akademischer Austauschdienst)
DAAD Scholarship (Deutscher Akademischer Austauschdienst)
-
Fritz-Thyssen Foundation Scholarship
Fritz-Thyssen Foundation
-
Academic Excellence Award
Friedrich-Schiller University of Jena
Awarded based on academic merit.
-
Bertelsmann Stiftung Scholarship
Bertelsmann Stiftung Scholarship
Sprachen
-
Deutsch
Muttersprache oder zweisprachig
-
Englisch
Muttersprache oder zweisprachig
-
Chinesisch (vereinfacht)
Gute Kenntnisse
-
Spanish
Gute Kenntnisse
-
Katalanisch
Grundkenntnisse
Organisationen
-
Plattform Industrie 4.0
-
–HeuteProject Group: „Digitale Geschäftsmodelle“
-
IBM Consulting DACH (Germany, Austria, Switzerland) - Top Talent Program
Member
–Heute
Weitere ähnliche Profile
Weitere Beiträge entdecken
Weitere Mitglieder namens Andreas Horn in Deutschland
Es gibt auf LinkedIn 233 weitere Personen namens Andreas Horn, die sich in Deutschland befinden.
Weitere Mitglieder anzeigen, die Andreas Horn heißen