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Master AI fundamentals with LearnEasy's 'AI for All Backgrounds' course. Designed for beginners and professionals alike, this free course covers key AI concepts, tools, and applications.
What you will Learn?
In this course, you’ll start from the absolute basics—understanding how computers process data, the fundamentals of programming (with Python), and the essential math behind AI (algebra, statistics, and probability)—all explained in simple terms. You’ll explore core AI concepts, from machine learning (regression, classification, and neural networks) to advanced topics like deep learning (TensorFlow, PyTorch), natural language processing (chatbots, translators), and computer vision (image recognition). Along the way, you’ll build hands-on projects, train models, and learn to deploy AI applications, while also covering ethical considerations and real-world uses in healthcare, finance, and more. By the end, you’ll have a complete mastery of AI, from beginner-level foundations to expert-level skills, regardless of your background.
Course Requirements
No prior experience is needed—this course is designed for absolute beginners! You’ll just need a computer (Windows, Mac, or Linux) with internet access to follow along. We’ll guide you through installing free tools like Python and provide all learning materials. Bring your curiosity, and we’ll handle the rest!
AI for All Backgrounds Course Description
"AI for All Backgrounds: The Complete Mastery Course" is designed to take you from absolute beginner to AI-confident, even if you're starting with zero tech experience. We begin by explaining how computers work, then gradually introduce programming, math fundamentals, and core AI concepts—all in simple, approachable terms. You'll not only learn theory but also build real projects, from your first neural network to practical applications like chatbots and image recognition.
This course stands out by blending foundational knowledge with hands-on practice, ensuring you understand both the "why" and "how" of AI. By the end, you'll have the skills to explore advanced topics, apply AI tools in your field, or even pursue a career in tech—all while being mindful of AI's ethical implications. Perfect for curious learners, career changers, or professionals looking to future-proof their skills!
Course Curriculum
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- AI Training Series – Computer Basics – Lecture – 01 00:33:00
- AI Training Series – Computer Basics – Lecture – 02 00:26:00
- AI Training Series – Computer Science Basics – Lecture 03 00:32:00
- AI Training Series – Computer Science Basics – Lecture 04 00:31:00
- AI Training Series – What are APIs – Lecture 05 00:29:00
- AI Training Series – Using Gemini and OpenAI APIs – Lecture 06 00:23:00
- AI Training Series – Networking Concepts – Lecture 07 00:27:00
- AI Training Series – Cloud Computing – Part 1 – Lecture 08 00:38:00
- AI Training Series – Cloud Computing – Part2 – Lecture 09 00:29:00
- AI Training Series – Cloud Computing – Part3 – Lecture 10 00:38:00
- AI Training Series – Cloud Computing – Part 4 – Lecture 11 00:33:00
- AI Training Series – Databases – Lecture-12 00:41:00
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- AI Training for all – Lecture -1 – Introduction to Artificial Intelligence 00:31:00
- AI Training for all – Lecture – 2 – Introduction to Machine Learning 00:24:00
- AI Training for all – Lecture – 3 – Machine Learning Model training Inference and Utilization 00:24:00
- AI Training for all background – Lecture – 4 – Types of Machine Learning 00:23:00
- AI Training for all background – Lecture – 5 – Regression in Machine Learning 00:25:00
- AI Training for all background – Lecture – 6 – Regression Model training in Azure ML Studio 00:59:00
- AI Training for all background – Lecture – 7 – Binary classification Model training in Azure ML Studio 00:48:00
- AI Training for all background – Lecture – 8 – Multiclass classification Model training in Azure Auto ML 00:42:00
- AI Training for all background – Lecture – 9 – Reinforcement Learning & Deep Learning 00:28:00
- AI Training for all background – Lecture – 10 – AI Development overview 00:24:00
- AI Training for all background – Lecture – 11 – Azure AI Foundry 00:19:00
- AI Training for all background – Lecture – 12 – Microsoft AI Certification AI 900 Study plan 00:26:00
- AI Training for all background – Lecture – 13 – Introduction to Generative AI 00:23:00
- AI Training for all background – Lecture – 14 – Generative AI Concepts 00:26:00
- AI Training for all background – Lecture – 15 – Generative AI in Azure 00:29:00
- AI Training for all background – Lecture – 16 – AI models & services in Azure 00:39:00
- AI Training for all background – Lecture – 17 – Computer Vision 00:30:00
- AI Training for all background – Lecture – 18 – AI Vision Service in Azure 00:37:00
- AI Training for all background – Lecture – 19 – AI Speech in Azure 00:30:00
- AI Training for all background – Lecture – 20 – Natural Language Processing 00:34:00
- AI Training for all background – Lecture – 21 – Azure AI Language Service 00:28:00
- AI Training for all background – Lecture – 22 – Q & A Knowledge base in Azure 00:33:00
- AI Training for all background – Lecture – 23 – Smart Conversational AI Apps model training 00:26:00
- AI Training for all background – Lecture – 24 – AI Powered information extraction 00:38:00
- AI Training for all background – Lecture – 25 – Azure AI content understanding & Vision+Documents 00:29:00
- AI Training for all background – Lecture – 26 – Responsible AI 00:28:00
- Microsoft Certified Azure AI Fundamentals – AI 900 – Exam Prep , Fee payment and Exam scheduling 00:31:00
- AI Automation Lecture – 01 – AI vs Generative AI vs AI Agents vs Agentic AI 00:28:00
- AI Automation Lecture – 02 – AI Automation and Job opportunities – آٹومیشن اور ملازمت کے مواقع AI 00:23:00
- AI Automation Lecture – 03 – First workflow-Part 1 – پہلا ورک فلو I آٹومیشن AI 00:26:00
- AI Automation Lecture – 04 First workflow-Part2 Gmail OAuth setup with Make.com 00:36:00
- AI Automation Lecture – 05 – Automated Customer services email system 00:34:00
- AI Automation Lecture – 06 – 24*7 Customer Service Agent 00:40:00
- AI Automation Lecture – 07 – Free n8n Setup 00:30:00
- AI Automation Lecture – 08 – n8n Basic concepts and Introduction 00:38:00
- AI Automation Lecture – 09 – Gmail OAuth setup with n8n 00:18:00
- AI Automation Lecture – 10 – n8n First AI Agent 00:46:00
- AI Automation Lecture – 11 – RAG AI Agent – اے آئی ایجنٹ RAG 00:43:00
- AI Automation Lecture – 12 – Whatsapp and locally hosted n8n integration issues 00:27:00
- AI Automation Lecture – 13 WhatsApp integration with n8n ( Part 2 ) 00:36:00
- AI Automation Lecture – 14 – n8n Chatbot and Agent integration to websites. 00:32:00
- AI Automation Lecture – 15 Local n8n with ngrok free domain and secure tunnel for Telegram 00:31:00
- AI Automation Lecture – 16 – n8n Filter IF and Switch nodes 00:30:00
- AI Automation Lecture – 17 Upload n8n workflows to gitHub 00:16:00
- AI Automation Lecture – 18 n8n Project delivery Step-by-Step 00:19:00
- AI Automation Lecture – 19 n8n AI Workflow Builder 00:28:00
- AI Automation Lecture – 20 – n8n Free Setup on Google Cloud Platform 00:36:00
- AI Automation Lecture – 21 – n8n free setup on AWS 00:22:00
- AI Automation Lecture – 22 – Cost estimation of AI Automation solutions 00:16:00
Course Instructor
