https://github.com/athivvat/ai-engineer-guide
A Roadmap to Becoming an AI Engineer — From Zero to AI Engineer 👨🏻🚀 🚀
https://github.com/athivvat/ai-engineer-guide
ai engineer
Last synced: 3 months ago
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A Roadmap to Becoming an AI Engineer — From Zero to AI Engineer 👨🏻🚀 🚀
- Host: GitHub
- URL: https://github.com/athivvat/ai-engineer-guide
- Owner: athivvat
- License: mit
- Created: 2017-04-04T14:38:47.000Z (about 9 years ago)
- Default Branch: main
- Last Pushed: 2025-09-08T07:21:58.000Z (8 months ago)
- Last Synced: 2025-09-08T09:22:11.873Z (8 months ago)
- Topics: ai, engineer
- Language: MDX
- Homepage: https://aiengineer.guide
- Size: 2.03 MB
- Stars: 319
- Watchers: 6
- Forks: 57
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- Funding: .github/FUNDING.yml
- License: LICENSE
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README
# AI Engineer Guide - Edition 2 (2025)
AI engineer guide is a comprehensive resource for going from software engineer/non-software engineer to professional AI engineer. Whether you're a seasoned software engineer or venturing into the tech world from a different discipline, our resource is tailored to help you navigate the exciting journey to becoming a professional AI Engineer.
This Edition 2 reflects the latest trends in AI engineering for 2025, including Agentic AI, Advanced RAG systems, Multimodal AI, and Enterprise AI deployment.
→ https://aiengineer.guide
## Table of Contents
### 🎯 [Getting Started](#getting-started)
- [What is AI Engineer](#what-is-ai-engineer)
- [Key Responsibilities](#key-responsibilities)
- [Career Pathways](#career-pathways)
- [Skills Assessment](#skills-assessment)
### 📚 [Foundation Knowledge](#foundation-knowledge)
- [Mathematics](#mathematics)
- [Linear Algebra](#linear-algebra)
- [Probability & Statistics](#probability--statistics)
- [Calculus](#calculus)
- [Optimization](#optimization)
- [Computer Science](#computer-science)
- [Programming Fundamentals](#programming-fundamentals)
- [Data Structures & Algorithms](#data-structures--algorithms)
- [Software Engineering](#software-engineering)
### 🤖 [Core AI Technologies](#core-ai-technologies)
- [Machine Learning](#machine-learning)
- [Supervised Learning](#supervised-learning)
- [Unsupervised Learning](#unsupervised-learning)
- [Reinforcement Learning](#reinforcement-learning)
- [Deep Learning](#deep-learning)
- [Neural Networks](#neural-networks)
- [CNNs & Computer Vision](#cnns--computer-vision)
- [RNNs & NLP](#rnns--nlp)
- [Transformers](#transformers)
### 🚀 [Advanced AI Engineering (2025)](#advanced-ai-engineering-2025)
- [Large Language Models (LLMs)](#large-language-models-llms)
- [Architecture Understanding](#architecture-understanding)
- [Fine-tuning Techniques](#fine-tuning-techniques)
- [Prompt Engineering](#prompt-engineering)
- [Model Evaluation](#model-evaluation)
- [Agentic AI Systems](#agentic-ai-systems)
- [AI Agent Design](#ai-agent-design)
- [Multi-Agent Systems](#multi-agent-systems)
- [Agent Orchestration](#agent-orchestration)
- [Tool Integration](#tool-integration)
- [Retrieval-Augmented Generation (RAG)](#retrieval-augmented-generation-rag)
- [Vector Databases](#vector-databases)
- [Hybrid Search](#hybrid-search)
- [Knowledge Graphs](#knowledge-graphs)
- [Advanced RAG Patterns](#advanced-rag-patterns)
- [Multimodal AI](#multimodal-ai)
- [Vision-Language Models](#vision-language-models)
- [Audio Processing](#audio-processing)
- [Video Understanding](#video-understanding)
- [Cross-modal Applications](#cross-modal-applications)
- [Embodied AI & Physical AI](#embodied-ai--physical-ai)
- [Robotics Integration](#robotics-integration)
- [Sensor Fusion](#sensor-fusion)
- [Real-time Decision Making](#real-time-decision-making)
- [Human-Robot Interaction](#human-robot-interaction)
### 🏢 [Enterprise AI Implementation](#enterprise-ai-implementation)
- [MLOps & LLMOps](#mlops--llmops)
- [Model Lifecycle Management](#model-lifecycle-management)
- [Deployment Strategies](#deployment-strategies)
- [Monitoring & Observability](#monitoring--observability)
- [Cost Optimization](#cost-optimization)
- [AI Governance & Ethics](#ai-governance--ethics)
- [Responsible AI](#responsible-ai)
- [Bias Detection](#bias-detection)
- [Explainability](#explainability)
- [Privacy & Security](#privacy--security)
### 🛠️ [Tools & Frameworks](#tools--frameworks)
- [Development Tools](#development-tools)
- [Python Ecosystem](#python-ecosystem)
- [LangChain & LangGraph](#langchain--langgraph)
- [Hugging Face](#hugging-face)
- [OpenAI & Anthropic APIs](#openai--anthropic-apis)
- [Infrastructure](#infrastructure)
- [Cloud Platforms](#cloud-platforms)
- [GPU Computing](#gpu-computing)
- [Vector Databases](#vector-databases-1)
- [Model Serving](#model-serving)
### 💼 [Industry Applications](#industry-applications)
- [Conversational AI](#conversational-ai)
- [Code Generation](#code-generation)
- [Content Creation](#content-creation)
- [Autonomous Systems](#autonomous-systems)
- [Enterprise Automation](#enterprise-automation)
### 📖 [Learning Resources](#learning-resources)
- [Courses](#courses)
- [Books](#books)
- [Research Papers](#research-papers)
- [Certifications](#certifications)
- [Conferences](#conferences)
### 🎯 [Career Development](#career-development)
- [Building Portfolio](#building-portfolio)
- [Interview Preparation](#interview-preparation)
- [Salary Trends](#salary-trends)
- [Job Market Analysis](#job-market-analysis)
### ⚖️ [Ethics & Responsible AI](#ethics--responsible-ai)
- [Ethical AI Principles](#ethical-ai-principles)
- [Fairness & Non-discrimination](#fairness--non-discrimination)
- [Transparency & Explainability](#transparency--explainability)
- [Privacy & Data Protection](#privacy--data-protection)
- [Human Autonomy](#human-autonomy)
- [Bias in AI Systems](#bias-in-ai-systems)
- [Types of Bias](#types-of-bias)
- [Bias Detection Methods](#bias-detection-methods)
- [Mitigation Strategies](#mitigation-strategies)
- [Fairness Metrics](#fairness-metrics)
- [AI Safety & Alignment](#ai-safety--alignment)
- [AI Risk Assessment](#ai-risk-assessment)
- [Value Alignment](#value-alignment)
- [Robustness & Reliability](#robustness--reliability)
- [AI Red Teaming](#ai-red-teaming)
- [Regulatory & Legal Considerations](#regulatory--legal-considerations)
- [GDPR & AI](#gdpr--ai)
- [AI Act (EU)](#ai-act-eu)
- [AI Governance Frameworks](#ai-governance-frameworks)
- [Compliance & Auditing](#compliance--auditing)
- [Practical Implementation](#practical-implementation)
- [Ethical Review Processes](#ethical-review-processes)
- [AI Impact Assessments](#ai-impact-assessments)
- [Stakeholder Engagement](#stakeholder-engagement)
- [Continuous Monitoring](#continuous-monitoring)
# Contributing
See [CONTRIBUTING.](https://github.com/athivvat/ai-engineer-guide/blob/master/CONTRIBUTING.md)