?Access Black Friday Sale (Up To 50% OFF): https://kode.wiki/4oJUEZ5
Stop feeling overwhelmed by MLOps roadmaps! This video breaks down the entire MLOps journey into 7 clear, actionable steps that build on what you already know. From understanding AI models like GPT-5 to mastering programming, version control, cloud computing, containerization, machine learning, data engineering, and monitoring, this is your complete MLOps guide for 2026.
? Topics covered:
- What is MLOps?
- Step-by-step learning roadmap
- Real-world concepts explained with examples
- Hands-on next steps for building projects
This video is perfect for beginners and intermediate practitioners looking to level up their ML deployment skills.
? Key Takeaway: Start with familiar AI models (ChatGPT, Claude) and build your skills incrementally toward production deployment.
⏰Timestamps
00:00 – The Real Problem with MLOps Roadmaps
00:28 – Starting with What You Know
01:05 – Step 1: Programming Fundamentals
01:35 – Step 2: Version Control
01:59 – Step 3: Cloud Computing
02:32 – Step 4: Containerization
6:30 – Step 5: Automation and Orchestration using Kubernetes
7:20 – Step 6: Machine Learning – Building the Intelligence
8:15 – Step 7: Data Engineering Essentials for MLOps Pipelines
9:25 – Step 8: Monitoring and Feedback Loops in Production
10:20 – Conclusion and Hands-on Lab Introduction
? Start Your AI Journey with KodeKloud: https://kode.wiki/41NLyks
? Subscribe to KodeKloud for more videos on MLOps[ and AI.
#MLOps #MachineLearning #MLOpsRoadmap #DataScience #ArtificialIntelligence #DevOps #MLOpsBeginners #MLWorkflow #kodekloud