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.
- Data Science Roadmap
- Data Analysis Roadmap
- Business Intelligence Roadmap
- Data Engineering Roadmap
- Robotics and AI Roadmap
- AI Product Management Roadmap
- NLP Engineering Roadmap
- Computer Vision 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
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
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
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
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
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
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
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
- Choose the roadmap that aligns with your career goals or interests.
- Start with the foundations and progressively move through the roadmap.
- Use the recommended resources (books, courses) to learn each topic.
- Build projects to apply your learning at each stage.
- Participate in relevant competitions and contribute to open-source projects.
- Network with professionals in your chosen field and stay updated with the latest trends.
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.
These roadmaps are provided under the MIT License.
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.