365-Day Roadmap to Mastering Machine Learning & MLOps

If you’re serious about becoming a machine learning engineer or MLOps professional, this 365-day roadmap will walk you through every essential skill — from foundational concepts to real-world deployment.

Let’s break it down into phases 👇

🔹 Foundational Concepts (Days 1–60)

• Understand ML Paradigms:
  Supervised, Unsupervised, and Reinforcement Learning
• Learn Core Algorithms:
  Regression, Classification, Decision Trees
• Explore Clustering:
  K-Means, DBSCAN, Hierarchical Clustering

🔹 Data Preprocessing & Feature Engineering (Days 61–100)

• Techniques:
  Missing value handling, normalization, encoding
• Tools:
  Pandas (Python), dplyr & caret (R)

🔹 Model Evaluation & Optimization (Days 101–150)

• Metrics:
  Accuracy, Precision, Recall, F1-score, AUC-ROC
• Tuning Methods:
  Grid Search, Random Search, Bayesian Optimization

🔹 ML Libraries & Frameworks (Days 151–200)

• Python Ecosystem:
  Scikit-learn, TensorFlow, PyTorch
• R Ecosystem:
  caret, vip, dplyr

🔹 Advanced Topics (Days 201–260)

• Ensemble Techniques:
  Bagging, Boosting, Stacking
• Deep Learning Models:
  CNNs, RNNs, GANs, Transformers (BERT, GPT)
• Reinforcement Learning:
  Learn using OpenAI Gym and policy gradients

🔹 MLOps & Deployment (Days 261–320)

• Lifecycle Management:
  Model development → training → validation → deployment
• Key Tools:
  MLflow, Hugging Face, LangChain
• Cloud Platforms:
  Google Cloud, AWS, Azure

🔹 Real-World Applications (Days 321–365)

• Computer Vision:
  Image classification, object detection
• NLP:
  Text classification, sentiment analysis
• LLMs:
  Fine-tune and deploy large language models
• Deployment Skills:
  End-to-end pipelines using CI/CD and cloud-native services

📚 Learn as You Go

Here are handpicked Coursera affiliate courses to help you master each area:

🧠 AI & MLOps
🔗 IBM AI Developer Certificate
🔗 Generative AI for Software Developers

📊 Data Science
🔗 IBM Data Science Professional Certificate
🔗 SQL Basics for Data Science

💻 Python
🔗 Google IT Automation with Python
🔗 Microsoft Python Development

📘 Access more free roadmaps, guides, and infographics at:
programmingvalley.com