AI Career Paths

The skills to learn in order to become an AI engineer in 2026 — foundations, prompting, RAG, agents, evals, cost, safety, and deployment, each with concrete outcomes.

Every week, I see another tutorial claiming you can build an AI agent in under 10...

Build a production-ready AI agent with LangGraph 1.1 and Python. 14-step tutorial with tools, memory, human-in-the-loop, and deployment patterns.

Build powerful, production-ready AI agents with n8n. Explore practical agent workflows, customizable templates, and 1000+ integrations to automate anything—from AI chatbots to autonomous crawlers.

Identifying and tackling the risks of Gen AI systems and applications OWASP GenAI Security Project A global community-driven and expert led initiative to create freely available open source guidance and resources for understanding and mitigating security and safety concerns for Generative AI applications and adoption. Join Now Members k+ Countries + AI Cybersecurity Publications + […]

2026 AI Product Engineer roadmap: 7 stages from LLM apps to RAG, agents, evals, and shipping. Annotated resources, tools, portfolio projects. MIT. - landedjobs/ai-product-engineer-roadmap

Become a Certified AI Professional with our expertly curated Computer Vision and Deep Learning courses — designed to take you from beginner to mastery in AI.

Join an online coding platform: courses for all levels, hands-on projects, practical challenges, and a code runner. Receive a certificate upon completion.

Computer Vision Roadmap 2026: a step-by-step beginner path from Python + OpenCV to CNNs, YOLO, segmentation, and deployment—with projects & portfolio tips.

Data Engineering Zoomcamp is a free 9-week course on building production-ready data pipelines. Join the course here 👇🏼 - DataTalksClub/data-engineering-zoomcamp

Around a year of failing & learning with AI production projects, combining vision, strong opinions, tools and demo projects based on real work.

The complete data scientist roadmap for 2026. Step-by-step learning path covering Python, SQL, statistics, EDA, A/B testing, applied ML, and business communication — with free courses at every stage.

A 2026 data scientist roadmap with an ordered skill sequence, projects to build, a phase-by-phase timeline and a job-readiness checklist for aspiring freshers.

Use statistics, machine learning, experimentation, and product judgment to turn messy data into decisions. A source-backed 8-stage global roadmap with regional salary ranges, LDS practice links, and curated external references.

This data science roadmap provides step-by-step guidance—from skills to portfolio & career prep. Plus, find courses and projects to support you at every stage.

Complete AI System Design Roadmap 2026 — crack any AI interview. Foundations, HLD, LLD, ML System Design, GenAI & Agentic AI. Free notes & resources. - amanailab/AI-System-Design

Contribute to ai-engineering-curriculum/applied-ai-engineer-learning development by creating an account on GitHub.

by Prateek Sharma, AI Engineer From writing your first effective prompt to building real AI systems: a practical roadmap for learning prompt engineering, and an honest look at what the career has actually become. Download a pdf of this white paperProtovate_How_to_Become_a_Prompt_Engineer.pdf3 MBdownload-circle What

The standalone “Prompt Engineer” title has declined 30% since 2023. The underlying skill now appears in 78% of AI-related job postings. The work did not disappear. It got absorbed into AI Engineer, LLM Engineer, and LLMO

How to become an LLM engineer in 2026: the real skills, salary, interview prep, and a 90-day plan to land the role, even without an ML degree.

Step-by-step roadmap to become a machine learning engineer in 2026. Includes essential skills, top tools, salary expectations, and project ideas.

A practical machine learning engineer roadmap covering the exact skills, tools, and courses that get engineers hired in 2026—not just theory, but production systems too.

Build, deploy, optimize, and maintain machine learning systems that serve real users. A source-backed 8-stage global roadmap with regional salary ranges, LDS practice links, and curated external references.

Learn everything you need to know to become a Machine Learning Engineer, as well as how to get hired as one in 2026 with this step-by-step guide!

Build a repeatable process for training, releasing, monitoring and recovering an ML system. Learn data validation, reproducible pipelines, model releases and rollback.

Keep ML systems alive with CI/CD, model serving, monitoring, feature stores, and production operations. A source-backed 8-stage global roadmap with regional salary ranges, LDS practice links, and curated external references.

The complete AI Engineer bootcamp: Python, NLP, deep learning, Transformers, Hugging Face, LLMs, LangChain/LangGraph, RAG, and FastAPI deployment.

Offered by Board Infinity . Transformers, Fine-Tuning, and Model Evaluation is designed for learners with deep learning and NLP experience ... Enroll for free.

NLP Roadmap 2026 with a step-by-step learning path from beginner to advanced, covering Python, NLP, transformers, LLMs, RAG, and deployment.

Learn NLP step by step, from Python basics to advanced production deployment, with recommended tools, real-world projects, and course suggestions.