For those looking to transition into or get started with AI and data science, it’s easy to feel lost about where to begin, unclear on the learning path, and prone to taking detours.

You can check out AI-Roadmaps — a comprehensive learning resource that organizes the major directions in AI and data science into structured learning roadmaps.

It covers 8 complete paths, from foundational math and programming to advanced topics. Each roadmap progresses stage by stage, and includes recommended books and course resources.

GitHub: http://github.com/h9-tect/AI-Roadmaps

The covered domains are highly comprehensive: Data Science, Data Analysis, Data Engineering, Natural Language Processing (NLP), Computer Vision, Robotics & AI, Business Intelligence, and even a non-technical track — AI Product Management.

Whether you aim for a technical or product role, you’ll find a corresponding learning path. Pick a direction that interests you and start learning.

h9-tect/AI-Roadmaps

Source: https://github.com/h9-tect/AI-Roadmaps

AI and Data Science Learning Roadmaps

Introduction

This repository contains comprehensive learning roadmaps for various roles and specializations within the fields of Artificial Intelligence (AI) and Data Science. These roadmaps are designed to guide beginners through a structured learning path, covering foundational knowledge to advanced topics in each area.

Available Roadmaps

1. Data Science Roadmap
2. Data Analysis Roadmap
3. Business Intelligence Roadmap
4. Data Engineering Roadmap
5. Robotics and AI Roadmap
6. AI Product Management Roadmap
7. NLP Engineering Roadmap
8. Computer Vision Roadmap

Roadmap Overviews

Data Science Roadmap

The Data Science roadmap covers the essential skills and knowledge required to become a proficient data scientist. It includes topics such as:

• Foundations (Mathematics, Statistics, Programming)
• Data Manipulation and Analysis
• Machine Learning
• Big Data Technologies
• Advanced Topics (Deep Learning, NLP, Time Series Analysis)
• Tools and Practices
• Soft Skills and Business Acumen

View full Data Science Roadmap

Data Analysis Roadmap

The Data Analysis roadmap focuses on the skills needed for effective data analysis. Key areas include:

• Foundations (Mathematics, Statistics, Basic Programming)
• Data Analysis Tools (Spreadsheets, SQL, Python)
• Data Manipulation and Cleaning
• Exploratory Data Analysis (EDA)
• Statistical Analysis
• Data Visualization and Reporting
• Business Intelligence and Reporting
• Advanced Topics

View full Data Analysis Roadmap

Business Intelligence Roadmap

The Business Intelligence roadmap covers the skills required for turning data into actionable business insights. It includes:

• Foundations (Business Fundamentals, Data Basics, Statistics)
• Data Management
• Data Analysis and Visualization
• BI Tools and Platforms
• Data Modeling and ETL
• Advanced BI Concepts
• BI Strategy and Governance
• Soft Skills for BI Professionals

View full Business Intelligence Roadmap

Data Engineering Roadmap

The Data Engineering roadmap focuses on the skills needed to design and maintain data infrastructures. Key areas include:

• Foundations (Computer Science Basics, Programming, Linux)
• Databases and SQL
• Big Data Technologies
• Data Pipelines and ETL
• Cloud Platforms and Services
• Data Modeling and Architecture
• Performance Tuning and Optimization
• Data Security and Privacy
• DevOps for Data Engineering

View full Data Engineering Roadmap

Robotics and AI Roadmap

The Robotics and AI roadmap combines robotics with artificial intelligence. It covers:

• Foundations (Mathematics, Programming, Physics)
• Robotics Fundamentals
• Artificial Intelligence Basics
• Robot Perception
• Robot Learning
• Robot Planning and Decision Making
• Human-Robot Interaction
• Robot Software Engineering
• Specialized Robotics Fields
• Ethics and Safety in Robotics and AI

View full Robotics and AI Roadmap

AI Product Management Roadmap

The AI Product Management roadmap focuses on the skills needed to manage AI products and projects. It includes:

• Foundations (Product Management, Intro to AI/ML, Business Strategy)
• AI Product Strategy
• Data Strategy for AI Products
• AI Development Process
• AI User Experience (AI UX)
• AI Product Analytics
• AI Ethics and Responsible AI
• AI Product Marketing and Sales
• Emerging Trends in AI Product Management

View full AI Product Management Roadmap

NLP Engineering Roadmap

The NLP Engineering roadmap covers the skills required for Natural Language Processing. Key areas include:

• Foundations (Programming, Mathematics, Linguistics)
• Machine Learning Fundamentals
• Core NLP Tasks and Techniques
• Advanced NLP Techniques
• Language Understanding and Generation
• NLP Engineering Tools and Frameworks
• NLP Model Deployment and MLOps
• Ethical Considerations in NLP
• Advanced and Emerging NLP Topics

View full NLP Engineering Roadmap

Computer Vision Roadmap

The Computer Vision roadmap focuses on the skills needed for image and video analysis. It includes:

• Foundations (Mathematics, Programming, Digital Image Basics)
• Image Processing Fundamentals
• Computer Vision Basics
• Machine Learning for Computer Vision
• Core Computer Vision Tasks
• Advanced Computer Vision Techniques
• Specialized Computer Vision Applications
• Video Analysis
• Generative Models in Computer Vision
• Computer Vision in Production
• Ethical Considerations in Computer Vision
• Emerging Trends in Computer Vision

View full Computer Vision Roadmap

How to Use These Roadmaps

1. Choose the roadmap that aligns with your career goals or interests.
2. Start with the foundations and progressively move through the roadmap.
3. Use the recommended resources (books, courses) to learn each topic.
4. Build projects to apply your learning at each stage.
5. Participate in relevant competitions and contribute to open-source projects.
6. Network with professionals in your chosen field and stay updated with the latest trends.

Contributing

We welcome contributions to improve these roadmaps. If you have suggestions, corrections, or want to add resources, please submit a pull request or open an issue.

License

These roadmaps are provided under the MIT License.

Acknowledgements

These roadmaps were created with the assistance of an AI language model. They are meant to serve as general guides and should be adapted to individual learning styles and career goals.