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Free Download From Zero to AI Job The Complete Roadmap for Beginners
Published 8/2026
Created by Stuart Wesselby
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 41 Lectures ( 3h 33m ) | Size: 2.8 GB
Go from zero to your first AI job: practical Python, prompt engineering, AI tools, and a real portfolio.
What you'll learn
Map the real entry points into AI work and build a personalized learning roadmap for your background and target role. Compare and set up ChatGPT, Claude, Gemini, and automation tools like Zapier, Make, and n8n for real tasks. Write and run Python scripts, clean data with Pandas, and call an AI model directly from your own code. Structure prompts using proven techniques like few-shot examples, chain-of-thought, and role prompting for consistent output. Build three portfolio-ready AI projects, including a data analyzer, a document Q&A tool with RAG, and an automated workflow. Rewrite your resume and LinkedIn profile, prepare for AI job interviews, and negotiate your first AI job offer.Requirements
No pre-requisitesDescription
"This course contains the use of artificial intelligence."
If you want an AI career but have no idea where to start, the problem isn't you - it's that AI advice online is loud, contradictory, and mostly written to sell something.
This course replaces that noise with one clear, step-by-step path from complete beginner to a real, hireable AI skill set and a job search that actually works.
By the end, you will have written and run your own Python scripts, used prompt engineering techniques that professionals rely on daily, built three working AI projects you can show a hiring manager, and rewritten your resume, LinkedIn profile, and interview answers around your new skills. This isn't a theory course. Every module is built around what you can do, not just what you know.
What's covered
Get oriented fast. Cut through conflicting advice, map the four realistic entry routes into AI work, and build a personal learning roadmap based on your background and goals.Choose the right tools. Compare ChatGPT, Claude, and Gemini, understand when automation platforms like Zapier, Make, and n8n make sense, and set up a complete AI toolkit in one sitting.Learn just enough Python. Write your first scripts, work with loops and lists, clean real data with Pandas, and call an AI model directly from your own code - no computer science degree required.Master prompt engineering. Structure prompts that get consistent results, apply few-shot examples, chain-of-thought, and role prompting, and avoid the mistakes that quietly sabotage most beginners.Build a real portfolio. Create three projects - an AI-powered data analyser, a document Q&A tool built with retrieval-augmented generation (RAG), and an automated AI workflow - then document and publish them on GitHub.Understand the AI job market. Learn which entry-level AI roles actually hire beginners, where those jobs get posted, and how to read job Descriptions so you stop ruling yourself out of roles you qualify for.Land the job. Rewrite your resume and LinkedIn profile, network in AI communities without cold-pitching strangers, answer "do you have AI experience?" with confidence, and practice a full mock interview.Keep growing. Build a simple system for staying current on new AI tools, choose a specialisation, start building a personal brand, and leave with a written 30-60-90 day career action plan.This course is for career changers who want a realistic path into AI without going back to school, non-technical professionals who want practical AI skills without becoming a software engineer, curious ChatGPT users ready to turn casual interest into hireable ability, and anyone who has applied to AI jobs and been rejected or ignored. It is not built for experienced machine learning engineers looking for deep learning theory - it starts from zero and stays practical throughout.
Every module is project-based and grounded in real workplace tasks, from cleaning a spreadsheet with Pandas to negotiating an actual job offer, so what you practice here is what you'll be asked to do on the job. The course moves in order from AI fundamentals through Python, prompt engineering, and portfolio projects, then into the job search itself, so nothing assumes knowledge you haven't already built.
If you're ready to stop collecting AI tips and start building an AI career, enrol now and work through the roadmap at your own pace.
Who this course is for
Career changers from non-tech backgrounds who want a realistic, step-by-step path into an AI-related job without going back to school. Recent graduates and job seekers who feel priced out of AI roles by job postings that seem to demand years of machine learning experience they don't have. Non-technical professionals in marketing, admin, operations, or support who want practical AI skills on their resume without becoming a software engineer. Curious ChatGPT users who have experimented with AI casually and want a structured way to turn that interest into hireable, demonstrable skills. Job seekers who have already applied to AI roles and been rejected or ignored, and want to fix their resume, LinkedIn profile, and interview answers. Not for experienced machine learning engineers or data scientists looking for deep learning theory or advanced model architecture - this course starts from zero and stays practical. What you'll learn Map the real entry points into AI work and build a personalized learning roadmap for your background and target role. Compare and set up ChatGPT, Claude, Gemini, and automation tools like Zapier, Make, and n8n for real tasks. Write and run Python scripts, clean data with Pandas, and call an AI model directly from your own code. Structure prompts using proven techniques like few-shot examples, chain-of-thought, and role prompting for consistent output. Build three portfolio-ready AI projects, including a data analyzer, a document Q&A tool with RAG, and an automated workflow. Rewrite your resume and LinkedIn profile, prepare for AI job interviews, and negotiate your first AI job offer. COURSE Description If you want an AI career but have no idea where to start, the problem isn't you - it's that AI advice online is loud, contradictory, and mostly written to sell something. This course replaces that noise with one clear, step-by-step path from complete beginner to a real, hireable AI skill set and a job search that actually works. By the end, you will have written and run your own Python scripts, used prompt engineering techniques that professionals rely on daily, built three working AI projects you can show a hiring manager, and rewritten your resume, LinkedIn profile, and interview answers around your new skills. This isn't a theory course. Every module is built around what you can do, not just what you know. What's covered: Get oriented fast. Cut through conflicting advice, map the four realistic entry routes into AI work, and build a personal learning roadmap based on your background and goals. Choose the right tools. Compare ChatGPT, Claude, and Gemini, understand when automation platforms like Zapier, Make, and n8n make sense, and set up a complete AI toolkit in one sitting. Learn just enough Python. Write your first scripts, work with loops and lists, clean real data with Pandas, and call an AI model directly from your own code - no computer science degree required. Master prompt engineering. Structure prompts that get consistent results, apply few-shot examples, chain-of-thought, and role prompting, and avoid the mistakes that quietly sabotage most beginners. Build a real portfolio. Create three projects - an AI-powered data analyzer, a document Q&A tool built with retrieval-augmented generation (RAG), and an automated AI workflow - then document and publish them on GitHub. Understand the AI job market. Learn which entry-level AI roles actually hire beginners, where those jobs get posted, and how to read job Descriptions so you stop ruling yourself out of roles you qualify for. Land the job. Rewrite your resume and LinkedIn profile, network in AI communities without cold-pitching strangers, answer "do you have AI experience?" with confidence, and practice a full mock interview. Keep growing. Build a simple system for staying current on new AI tools, choose a specialization, start building a personal brand, and leave with a written 30-60-90 day career action plan. This course is for career changers who want a realistic path into AI without going back to school, non-technical professionals who want practical AI skills without becoming a software engineer, curious ChatGPT users ready to turn casual interest into hireable ability, and anyone who has applied to AI jobs and been rejected or ignored. It is not built for experienced machine learning engineers looking for deep learning theory - it starts from zero and stays practical throughout. Every module is project-based and grounded in real workplace tasks, from cleaning a spreadsheet with Pandas to negotiating an actual job offer, so what you practice here is what you'll be asked to do on the job. The course moves in order from AI fundamentals through Python, prompt engineering, and portfolio projects, then into the job search itself, so nothing assumes knowledge you haven't already built. If you're ready to stop collecting AI tips and start building an AI career, enroll now and work through the roadmap at your own pace. Want me to tighten or lengthen the Description, swap in a different primary keyword (I used "AI career" - could shift to something like "prompt engineering" or "break into AI" if you have a specific search term in mind), or draft a couple of alternate subtitles to A/B test? Job seekers who have already applied to AI roles and been rejected or ignored, and want to fix their resume, LinkedIn profile, and interview answers. Not for experienced machine learning engineers or data scientists looking for deep learning theory or advanced model architecture - this course starts from zero and stays practical.Homepage
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