Basics - Machine Learning & MLOPS

What You’ll Learn in 45 Minutes

A focused and personalised session to help you:

• Understand Machine Learning fundamentals (Supervised vs Unsupervised, models, pipelines)
• Grasp key MLOps concepts (model lifecycle, CI/CD, deployment, monitoring)
• Get clarity on real-world applications and best practices
• Learn tools like Scikit-Learn, MLflow, Docker, GitHub Actions, Vertex AI, SageMaker, etc.
• Choose career paths or project ideas based on your goals

🧰 Who is this for?

• Students looking to learn ML/MLOps basics
• Working professionals switching into AI/ML roles
• Developers needing MLOps overview for their projects
• Product/Project Managers needing clarity on AI workflows

🎯 Session Format

• ✅ Quick intro: Your background & goals
• ✅ Tailored walkthrough (ML basics or MLOps focus)
• ✅ Hands-on tips & real tools overview
• ✅ 5–10 mins for Q&A or roadmap planning
• ✅ Follow-up resources (PDF guide or Notion board if needed)

💡 What You’ll Walk Away With

• Clear mental model of ML/MLOps workflow
• Terminologies made simple
• Roadmap or project ideas to start implementing right away
• Confidence to dive deeper or apply ML in your own domain