TABLES ALWAYS TURN!!! TABLES ALWAYS TURN!!! TABLES ALWAYS TURN!!! TABLES ALWAYS TURN!!!

Guys we're back again But this time with a career update👀 All those sleepless nights are finally making a sense now

As a CS student working on ML and DSA every day, GPT-5.6 Sol has been a noticeable upgrade. Better explanations, fewer hallucinations, and much better at handling long coding sessions.

DONT USE AI TO CREATE YOUR PORTFOLIO DONT USE AI TO CREATE YOUR PORTFOLIO DONT USE AI TO CREATE YOUR PORTFOLIO DONT USE AI TO CREATE YOUR PORTFOLIO DONT USE AI TO CREATE YOUR PORTFOLIO DONT USE AI TO CREATE YOUR PORTFOLIO DONT USE AI TO CREATE YOUR PORTFOLIO

You only need 7 AWS services to get hired: > EC2 - run apps > S3 - store files > IAM - manage access > RDS - databases > Lambda - run code without servers > CloudWatch - monitor > VPC - network setup Forget the 200+. Master these 7 and get ahead of 90%

If you don't know where to start with Al, here's what you need to do: 1. Learn Claude 2. Master n8n workflows 3. Set up a local LLM using Ollama 4. Self-host n8n on Docker 5. Learn Al agents inside n8n 6. Build a personal Al assistant 7. Get good at writing Al prompts 8. Pick a niche you love 9. Replicate a proven SaaS with Al 10. Build 3 to 5 Al agent demos 11. Start posting what you're building 12. Build a lead gen machine with Al 13. follow @BuildWithOm to learn

For a Data Engineer, it will be good if you have an understanding of the below 50 topics 👇 1. SQL 2. Advanced SQL 3. Query Optimization 4. Database Indexing 5. Data Modeling 6. OLTP 7. OLAP 8. Data Warehousing 9. Star Schema 10. Snowflake Schema 11. Python 12. ETL 13. ELT 14. Apache Airflow 15. Apache Kafka 16. Apache Spark 17. PySpark 18. Hadoop 19. Flink 20. Data Lakes 21. Delta Lake 22. Iceberg 23. Hudi 24. Batch Processing 25. Stream Processing 26. CDC 27. Data Governance 28. Data Quality 29. Data Lineage 30. Metadata Management 31. AWS S3 32. Redshift 33. BigQuery 34. Snowflake 35. Databricks 36. GCP 37. Azure 38. Kubernetes 39. Docker 40. Terraform 41. CI/CD 42. Monitoring 43. Observability 44. Distributed Systems 45. CAP Theorem 46. Security 47. IAM 48. Cost Optimization 49. Scalability 50. High Availability Data Engineering is where software engineering meets data.

Most Valuable Tech Skills in 2026 💰 • 🤖 AI Engineering • ☁️ Cloud Computing • 🔒 Cybersecurity • 📊 Data Engineering • ⚙️ System Design • 🚀 DevOps • 🧠 Machine Learning • 🗄️ Database Design • 🌐 Backend Development • 📡 Distributed Systems Which one are you betting your career on?

Ranking Things That Actually Make You Better 👇 1. Building Projects 2. Reading Documentation 3. Debugging 4. Code Reviews 5. Open Source 6. Tutorials 7. Courses 8. Certifications Controversial, but I'd stand by it.

AI Engineer Roadmap 👇 Stage 1: Python Stage 2: SQL Stage 3: Machine Learning Stage 4: Deep Learning Stage 5: Transformers Stage 6: RAG Stage 7: AI Agents Stage 8: Evaluation Stage 9: MLOps Stage 10: Production AI The gap between Stage 7 and Stage 10 is larger than most people think.

If you could master only one domain forever, what would it be? • AI/ML • Cybersecurity • Cloud • Backend • Data Engineering

Ranking Tech Skills by Difficulty 👇 1. Distributed Systems 2. System Design 3. Cybersecurity 4. MLOps 5. Kubernetes 6. AI/ML 7. Data Engineering 8. Backend Development 9. Frontend Development 10. HTML/CSS What's your ranking?

Modern Software Engineer Roadmap 👇 Stage 1: Learn Coding Stage 2: Learn Git Stage 3: Learn Databases Stage 4: Build APIs Stage 5: Learn Cloud Stage 6: Understand System Design Stage 7: Work with Distributed Systems Stage 8: Ship to Production Stage 9: Lead Projects Stage 10: Make Business Impact Most people stop at Stage 4.

Me realising: After 12-14 years of studying... You still have to study again for a job, for a switch, or just to survive🥲🤡

Interviewer: An AI can do your entire job. The company offers to keep paying you the same salary if you manage the AI. Do you accept?

Young people resigning in... 2001: - Backup job - Savings account - Parents have jobs - High chances of re-employment 2026: - No backup job - Zero savings - Parents depend on them - Little to no chance of re-employment

Most Valuable Tech Skills in 2026 💰 • 🤖 AI Engineering • ☁️ Cloud Computing • 🔒 Cybersecurity • 📊 Data Engineering • ⚙️ System Design • 🚀 DevOps • 🧠 Machine Learning • 🗄️ Database Design • 🌐 Backend Development • 📡 Distributed Systems Which one are you betting your career on?

Become Top 1% in Tech 👇 Stage 1: Learn Stage 2: Build Stage 3: Fail Stage 4: Build Again Stage 5: Share Your Work Stage 6: Network Stage 7: Create Opportunities Stage 8: Lead Projects Stage 9: Teach Others Stage 10: Compound Simple roadmap. Extremely difficult execution.

10 Technologies quietly powering the modern internet: 1. Linux 2. SQL 3. Docker 4. Kubernetes 5. Redis 6. Kafka 7. Nginx 8. Git 9. Python 10. Java Most users never hear these names. Most engineers use them every day.

Which tech channel would you recommend if someone asks you before starting their tech journey I would recommend Apna college wali didi for learning basics