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    Home»Development»AI Engineering Roadmap

    AI Engineering Roadmap

    February 6, 2025

    Artificial Intelligence is rapidly transforming industries, and AI Engineers are at the forefront of this revolution. If you’re looking to break into AI Engineering or advance your skills, having a clear roadmap is essential.

    Mastering AI requires a blend of mathematics, machine learning, deep learning, and hands-on engineering experience to build and deploy intelligent systems effectively.

    We just published a course on the freeCodeCamp.org YouTube channel that provides a comprehensive AI Engineering roadmap, guiding you through the essential skills and techniques you need to master by 2025.

    Developed by Tatev Aslanyan from LunarTech, this course covers everything from fundamental mathematics and key machine learning algorithms to large language models, AI best practices, and industry applications. Alongside hands-on implementation in Python, this roadmap also offers invaluable career insights to help you succeed in the evolving AI landscape.

    What You’ll Learn in This Course

    By the end of this course, you will have a strong foundation in:

    • Mathematical and statistical principles crucial for AI models

    • Data science and machine learning techniques used in AI applications

    • Deep learning fundamentals and practical implementation in Python

    • Generative AI and large language models (LLMs), including fine-tuning

    • Reinforcement learning and Retrieval-Augmented Generation (RAG)

    • AI model evaluation, optimization, and ethical considerations

    Course Breakdown

    This course is designed to provide a structured path into AI Engineering, including:

    • Understanding what AI Engineering is and its real-world applications

    • Learning essential mathematics and statistics for AI development

    • Exploring data science, machine learning, and deep learning methodologies

    • Implementing AI solutions with Python through practical examples

    • Mastering large language models, fine-tuning, and AI optimization techniques

    • Diving into AI ethics, safety, and best practices to ensure responsible AI development

    • Exploring career paths and additional resources for aspiring AI Engineers

    This roadmap is perfect for beginners looking to enter AI Engineering, as well as professionals who want to expand their knowledge and stay ahead in the field. Whether you aim to build machine learning models, work with generative AI, or develop cutting-edge AI applications, this course will equip you with the skills you need.

    You can watch the full course now on the freeCodeCamp.org YouTube channel (1 hour watch).

    Source: freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More 

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