AI Engineering Roadmap - Essential Skills and Career Guide for 2025

Master essential AI Engineering skills and techniques in this comprehensive 55-minute video guide designed for aspiring AI professionals preparing for 2025. Explore fundamental mathematics, statistics essentials, and data science skills before diving into traditional machine learning algorithms and deep learning foundations. Progress through practical Python implementations, generative AI fundamentals, and advanced topics like Large Language Models (LLMs), including fine-tuning, Reinforcement Learning with Human Feedback (RLHF), and Retrieval-Augmented Generation (RAG). Learn to evaluate and optimize LLMs while understanding crucial AI Engineering ethics and safety considerations. Developed by Tatev Aslanyan from LunarTech.ai, gain hands-on experience and valuable career insights through structured modules covering everything from basic concepts to cutting-edge applications in AI Engineering.

Syllabus

0:00:00 AI Engineering Roadmap Introduction
0:03:59 What is AI Engineering
0:05:47 AI Engineering Applications
0:08:31 Must-Have Skills for an AI Engineer
0:09:05 Mathematical Foundations
0:17:38 Statistics Essentials
0:23:37 Data Science Skills
0:28:05 Traditional Machine Learning
0:32:36 Deep Learning Foundations
0:38:36 Practical Implementation in Python
0:40:54 Generative AI Fundamentals
0:46:39 Large Language Models LLMs
0:51:07 Fine-tuning Large Language Models
0:52:05 Reinforcement Learning with Human Feedback RLHF
0:53:05 Retrieval-Augmented Generation RAG
0:53:28 Evaluating & Optimizing LLMs
0:54:14 AI Engineering Ethics & Safety
0:56:44 Additional Resources & Career Paths
0:57:34 Outro & Final Remarks