Free Resource
Breaking Into AI/ML
Your comprehensive 8-week roadmap to transition into AI/ML. Three specialized tracks for Research, Applied ML, and MLOps careers.
Your Progress: Applied ML Track
0/8 weeks completeWeek-by-Week Learning Plan
Week 1
Python & Data Stack
NumPyPandasMatplotlib
Project: EDA on real dataset
Week 2
Classical ML
Scikit-learnFeature EngineeringModel Selection
Week 3
Deep Learning Basics
PyTorchKerasTraining Loops
Project: Image classifier
Week 4
NLP Fundamentals
TokenizationEmbeddingsSentiment Analysis
Week 5
LLM Applications
Prompt EngineeringRAGFine-tuning
Project: Build a chatbot
Week 6
Computer Vision
Object DetectionSegmentationVideo Analysis
Week 7
Production ML
FastAPIDockerModel Serving
Project: Deploy a model
Week 8
Portfolio Project
End-to-End MLDocumentation
Project: Complete ML application
Skills Translation Matrix
Your existing skills translate to AI/ML. Here's what to leverage and what to focus on:
From: Software Engineer
✓ Leverage These
CodingSystem Design
→ Focus On
MathML TheoryStatistics
From: Data Analyst
✓ Leverage These
SQLVisualizationBusiness Logic
→ Focus On
PythonDeep LearningEngineering
From: Academic Researcher
✓ Leverage These
MathResearchWriting
→ Focus On
EngineeringProduction MLDevOps
From: Product Manager
✓ Leverage These
CommunicationStrategy
→ Focus On
Technical DepthHands-on CodingML Intuition
From: Designer
✓ Leverage These
UXUser ResearchCreativity
→ Focus On
Technical SkillsData ThinkingML Applications
Recommended Certifications
| Certification | Provider | Difficulty | Value | Time |
|---|---|---|---|---|
| Google ML Engineer | Google Cloud | Intermediate | ⭐⭐⭐⭐⭐ | 3-6 months |
| AWS ML Specialty | Amazon | Advanced | ⭐⭐⭐⭐⭐ | 4-6 months |
| DeepLearning.AI Specialization | Coursera | Beginner | ⭐⭐⭐⭐ | 4-5 months |
| Fast.ai Course | Fast.ai | Intermediate | ⭐⭐⭐⭐⭐ | 2-3 months |
| Hugging Face Certification | Hugging Face | Intermediate | ⭐⭐⭐⭐ | 1-2 months |
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Includes detailed resources, project templates, and a printable checklist.
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