Become an AI Developer

Overview

This AI Developer Career Path is your step-by-step roadmap to go from beginner (at any age!) to getting hired in the fastest growing field this year. You will learn to use the latest AI tools and skills to make you indispensable to any company that wants to stay on top of the AI revolution.Learn to build and scale generative AI applications using machine learning modelsBuild an AI-first career and set yourself apart from others by being at the cutting-edge of the AI revolutionUtilize leading Large Language Models via the OpenAI API, Gemini API, Amazon Bedrock and moreLearn the most in-demand AI skills from scratch including Prompt Engineering, Python, Algorithms and moreLeverage closed and open source LLMs for your applicationsMaster advanced skills and tools including Retrieval-Augmented Generation, LangChain, Streamlit, and Pinecone

Syllabus

• Prompt Engineering Bootcamp (Working With LLMs): Zero to Mastery
• Complete Python Developer in 2025: Zero to Mastery
• AI Engineering Bootcamp: RAG (Retrieval Augmented Generation) for LLMs
• Learn MCP (Model Context Protocol)
• Build AI Agents with CrewAI
• AI Engineering Bootcamp: Build, Train & Deploy Models with AWS SageMaker
• Perplexity AI for Professionals
• AI Engineering: Fine-Tuning LLMs
• Career Guide to Your Dream Job: Resumes, Interviews & Promotions
• Apply To 5 Jobs
• Ultimate AWS Bedrock Guide: Build and Scale Generative AI Apps
• Learning to Learn [Efficient Learning]
• The Complete Web Developer in 2025: Zero to Mastery
• Building AI Apps with the OpenAI API: GPT, DALL-E & Whisper
• Building AI Apps with the Gemini API
• Developing LLM Apps with LangChain
• Developing LLM App Frontends with Streamlit
• Build a ChatBot with Nuxt, TypeScript, and the OpenAI Assistants API
• Apply To 5 Jobs You Really Want
• Future Proof Yourself: Goal Setting for Your Career
• Take Your Next Step

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Taught by

Andrei Neagoie, Scott Kerr, Patrik Szepesi, Amber Israelsen, Diogo Resende, and Andrei Dumitrescu

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Subjects

Computer Science