Welcome to Your AI/ML Journey!
This template will help you navigate the exciting but complex world of Artificial Intelligence and Machine Learning. Whether you're just starting out or looking to deepen your expertise, this roadmap provides a structured path with specific resources, milestones, and practical projects.
How to use this template:
- Set your learning goals and timeline
- Track your progress with checkboxes
- Add notes and personalize each section
- Complete projects to build your portfolio
- Review and adjust your path regularly
π Track Your Progress
Phase |
Status |
Timeline |
Notes |
π± Foundations |
Not started |
Weeks 1-4 |
|
π ML Fundamentals |
Not started |
Weeks 5-12 |
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π§ Deep Learning |
Not started |
Weeks 13-20 |
|
π Specialization |
Not started |
Weeks 21+ |
|
π― Set Your Learning Goals
π― Your Experience Level
- [ ] Beginner (No technical background)
- [ ] Intermediate (Some programming experience)
- [ ] Advanced (Some programming experience)
π Time Commitment
- Weekly Time:
___
hours
- Total Months:
___
π Primary Goals (Choose 1-3)
- [ ] Career transition into AI/ML roles
- [ ] Enhance current technical skill set
- [ ] Build specific AI products or applications
- [ ] Prepare for further academic study
- [ ] Research interests
π Focus Area(s)
- [ ] Data Science foundations
- [ ] Machine Learning engineering
- [ ] Deep Learning specialization
- [ ] Natural Language Processing
- [ ] Computer Vision
- [ ] Reinforcement Learning
- [ ] MLOps & Deployment
- [ ] AI Ethics & Responsible AI
πΒ Learning Journey Phases
π Learning Resources
Essential Books
- [ ] "Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow" by AurΓ©lien GΓ©ron
- [ ] "Deep Learning" by Ian Goodfellow, Yoshua Bengio, and Aaron Courville
- [ ] "Pattern Recognition and Machine Learning" by Christopher Bishop
Online Courses
YouTube Channels
Blogs & Websites
π§© Additional Learning Tools
Practice Platforms
Communities
Newsletters
π Learning Journal
Date |
Topic |
Resources Used |
Key Learnings |
Questions |
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