Beginner to Production roadmap for Computer Engineering Students | Learn Data Science, Machine Learning, AI & MLOps Step-by-Step
Master Linear Algebra, Calculus, and Statistics - the mathematical foundations essential for machine learning and data analysis. Perfect for computer engineering students building strong analytical skills.
3Blue1Brown Essence of Linear Algebra Khan Academy Statistics Mathematics for Machine LearningLearn HTML, CSS, and JavaScript - essential skills for creating data visualization dashboards and web applications. Build the foundation for deploying ML models online.
MDN Web Docs FreeCodeCamp Web Design The Odin ProjectComplete Python programming guide for data science. From basics to advanced concepts including data structures, algorithms, and object-oriented programming.
Official Python Documentation FreeCodeCamp Python Course Real Python TutorialsMaster NumPy for numerical computing, Pandas for data manipulation, and Matplotlib/Seaborn for data visualization. Essential tools for every data scientist.
NumPy Documentation Pandas Documentation Matplotlib Documentation Seaborn DocumentationComprehensive machine learning course with daily lessons. Perfect for beginners to advanced learners. Covers supervised learning, unsupervised learning, and practical ML implementations.
CampusX YouTube Channel CampusX GitHub Repository CampusX Medium ArticlesBuild real-world machine learning projects from scratch. Learn data preprocessing, model training, evaluation, and deployment. Essential for building a strong ML portfolio.
ML Projects Playlist Project Code Repository Kaggle ML CourseDeep dive into machine learning theory, algorithms, and mathematical foundations. Learn from world-class instructors and master both classical and modern ML techniques.
Andrew Ng ML Course (Coursera) Scikit-learn Official Documentation Elements of Statistical Learning Cornell ML CoursePrepare for data science and ML engineer interviews. Practice common interview questions, coding challenges, and system design problems.
InterviewBit ML Preparation LeetCode ML Problems ML Interview QuestionsMaster web scraping techniques to collect data from websites. Learn Requests, BeautifulSoup, Selenium, and advanced scraping strategies for data science projects.
Requests Library Documentation BeautifulSoup Documentation Selenium Documentation Scrapy FrameworkBuild robust web applications with Django. Perfect for creating data science platforms, ML model deployment, and data visualization dashboards.
Django Official Documentation Dennis Ivy Django Tutorials Django Getting Started Django Girls TutorialCreate desktop GUI applications for data science tools and utilities. Build interactive data analysis tools and ML model interfaces.
Tkinter Official Documentation GeeksforGeeks Tkinter Tutorial Real Python Tkinter GuideMaster SQL for data extraction and database management. Essential for working with large datasets and building data pipelines.
W3Schools SQL Tutorial PostgreSQL Documentation MySQL Official SQL for Data ScienceCreate compelling data visualizations and dashboards. Learn to communicate insights effectively through visual data storytelling.
Plotly Documentation Streamlit for ML Apps Dash by Plotly Tableau TrainingComprehensive deep learning course covering neural networks, CNNs, RNNs, transformers, and advanced architectures. Perfect for mastering AI and modern ML techniques.
100 Days of DL Playlist Deep Learning Code Repository Deep Learning ArticlesBuild cutting-edge deep learning projects including computer vision, NLP, and generative AI applications. Create portfolio-worthy AI systems.
CampusX Deep Learning Projects Papers with Code AI Algorithms ImplementationIndustry-recognized TensorFlow certification from IBM. Master deep learning with TensorFlow 2.x, Keras, and production deployment.
TensorFlow Professional Certificate IBM Training Portal TensorFlow Developer CertificationMaster PyTorch, the preferred framework for research and advanced AI development. Learn dynamic computation graphs and cutting-edge models.
PyTorch Official Tutorials Keras Documentation fast.ai Practical Deep Learning DeepLearning.ai CoursesSpecialize in computer vision applications. Learn CNNs, object detection, image segmentation, and real-time video processing.
OpenCV Documentation PyTorch Vision Computer Vision CourseMaster Docker containers, container orchestration, and microservices architecture. Essential for deploying ML models and data science applications at scale.
LinkedIn Learning Docker Course Docker Official Documentation Docker 101 Tutorial Kubernetes ContainersBuild automated CI/CD pipelines for ML and data science projects. Learn Jenkins, GitHub Actions, and DevOps best practices for model deployment.
LinkedIn Learning Jenkins Course YouTube CI/CD Tutorials GitHub Actions Documentation GitLab CI/CDMaster AWS core services for data science and ML. Learn to deploy scalable applications, manage databases, and store large datasets efficiently.
GFG AWS EC2 Tutorial GFG RDS Tutorial GFG S3 Tutorial AWS Training PortalPrepare for AWS SAA certification and become an AWS Solutions Architect. Essential for designing cloud infrastructure for data science applications.
GFG AWS SAA Course AWS Official SAA Certification Udemy SAA CourseLearn Terraform and CloudFormation for infrastructure automation. Manage cloud resources declaratively and implement DevOps best practices.
Terraform Tutorials AWS CloudFormation Ansible AutomationCore cybersecurity fundamentals: networking, security, and systems
CompTIA Security+ CompTIA Network+ CompTIA A+ Udemy CompTIA Security+ All-in-One CoursesPractical penetration testing and offensive security
CEH Official Certification OSCP (Offensive Security) TryHackMe Platform Hack The Box LabsEnterprise security management and governance
CISSP Official (ISC2) CISM Certification Udemy CISSP All-in-One Prep ISC2 Official DocumentationSecure AWS & Azure infrastructure
AWS Security Specialty Azure Security Engineer (AZ-500) AWS Official Security TrainingIntegrating security into CI/CD pipelines
DevSecOps Roadmap OWASP Top 10 OWASP DevSecOps GuidelinesPipeline security, scanning, and automation
GitHub Actions Security Jenkins Security Documentation Snyk Vulnerability ScanningSecuring Docker images and Kubernetes clusters
Docker Security Documentation Kubernetes Security Concepts Trivy Security ScannerTerraform security and cloud misconfiguration prevention
Terraform Security Tutorials Checkov IaC Scanner Cloud CustodianComplete MLOps course covering model deployment, monitoring, and production ML systems. Learn best practices for deploying ML models at scale.
100 Days of MLOps Playlist MLOps Code Repository Neptune MLOps GuideDeploy machine learning models to production using modern tools and frameworks. Learn model serving, API development, and production optimization.
MLflow Documentation Kubeflow Documentation Seldon Core BentoMLTrack ML model performance, manage model versions, and implement monitoring systems for production ML applications.
DVC (Data Version Control) DVC GitHub Repository Weights & Biases Arize AI MonitoringBuild robust data pipelines and feature stores for ML systems. Learn feature engineering, data validation, and pipeline orchestration.
FeatureTools Apache Airflow Prefect Feast Feature StoreMaster GPT models, transformers, and modern NLP techniques. Learn to build and fine-tune language models for various applications.
OpenAI API Documentation HuggingFace Transformers Attention Mechanism Tutorials GPT-3 RepositoryLearn autonomous vehicle technologies, computer vision for navigation, and sensor fusion. Build self-driving car simulations and models.
Udacity Self-Driving Car Project Coursera Self-Driving Cars Specialization CARLA SimulatorMaster Q-Learning, Policy Gradient Methods, and Deep RL. Learn to build intelligent agents that learn from interaction.
DeepMind Research Stable Baselines3 Library RL Specialization OpenAI GymBuild production-ready machine learning solutions from data collection to model deployment. Create impressive portfolio projects.
Kaggle Competitions GitHub ML Projects State-of-the-Art ModelsDeploy deep learning models to production with REST APIs, real-time inference, and monitoring. Build scalable AI applications.
YouTube End-to-End Tutorials Torch Serve TensorFlow ServingBuild a professional portfolio, prepare for interviews, and launch your data science career. Learn resume building and networking.
GitHub for Version Control Heroku Deployment Platform LinkedIn Professional Network Glassdoor Career InsightsJoin data science communities, contribute to blogs, and stay updated with latest trends. Network with professionals and share knowledge.
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