AI Engineer Roadmap 2025 | AI Engineer Roadmap For Beginners | AI Engineer Career Path | Simplilearn
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The document outlines a six-month curriculum for learning computer science and machine learning, starting with the basics and progressing to advanced topics. Each month focuses on specific areas such as programming fundamentals, data structures, machine learning, and specialization in fields like NLP or computer vision. The program includes practical projects, networking strategies, and aims to enhance professional skills throughout.
AI Engineer Roadmap 2025 | AI Engineer Roadmap For Beginners | AI Engineer Career Path | Simplilearn
- 2. Month 1 - Building Foundations and Getting Started Week 1 - 2 Computer Science Fundamentals Bits and Bytes Computer Networks Programming Logic
- 3. Python Basics Week 3 - 4 Syntax, Control Structures, Functions Month 2 - Learning Python and Data Structures Data Structures Week 5 - 6 Arrays, Linked lists, Stacks, Queues, Trees
- 4. Week 7 - 8 SQL and Databases Manage, Query Relational Databases Month 3 - Database Management, Data Manipulation, and Mathematics Week 9 - 10 Data Manipulation with Numpy and Pandas Handle Large Datasets, Perform complex operations
- 5. Week 11 - 12 Math and Statistics for AI Linear algebra, Probability, Calculus, Statistics Month 3 - Database Management, Data Manipulation, and Mathematics
- 6. Week 13 – 14 Exploratory Data Analysis (EDA) Practice EDA by working with real datasets from Kaggle Month 4 - Data Analysis and Core Machine Learning Week 15 - 18 Machine Learning Fundamentals Linear regression, Classification, clustering, Decision trees
- 7. Week 19 – 20 MLOps Basics Docker, FastAPI, and Kubernetes Month 5 - Deployment, Specialization, and Advanced Topics Week 21 - 22 Portfolio Projects Projects on Regression and Classification
- 8. Week 23 - 24 Introduction to Deep Learning Neural networks, CNNs, RNNs, Deep learning architectures Month 5 - Deployment, Specialization, and Advanced Topics
- 9. Week 25 – 26 Specialization in NLP or Computer Vision Sentiment Analysis for NLP, object detection for CV Month 6 - Specialization, Networking, and Community Engagement Week 27 - 28 Mastering LangChain and LLMs Projects on Regression and Classification
- 10. Week 29 - 32 Professional Networking and Soft Skills Enhance your visibility in the field, Establish relationships Month 6 - Specialization, Networking, and Community Engagement