AI Engineer Full Course | 16+ Hours | Beginner to Pro | Build Real AI Projects

This complete 16+ hour AI Engineer course covers everything you need to master modern AI—from the fundamentals to building real-world AI applications. Whether you're a beginner, student, software developer, or working professional, this course will help you build a strong foundation in AI Engineering using the latest tools, frameworks, and industry practices. Free Download 500+ Pages AI Engineer Notes from here - https://www.theiscale.com/DataAnalyti... 👉 Join our AI cohort now: https://www.theiscale.com/cohort/coho... 📚 What You'll Learn ✅ Python for AI ✅ Machine Learning Fundamentals ✅ Deep Learning ✅ Generative AI ✅ Large Language Models (LLMs) ✅ Prompt Engineering ✅ AI Agents ✅ LangChain ✅ RAG (Retrieval-Augmented Generation) ✅ MCP (Model Context Protocol) ✅ AI Automation ✅ AI Workflows ✅ Vector Databases ✅ Model Deployment ✅ Real-World AI Projects ✅ AI Engineer Roadmap Time Stamp 00:00:00 - AI Engineer Course Introduction 00:07:06 - AI Engineer Project Challenges 00:15:51 - Evolution of AI & AI Stages 00:22:41 - Generative AI Model 00:41:11 - Prompt Engineering 01:30:56 - Core Prompting Techniques 02:12:51 - Anaconda Navigator Installation 02:24:31 - Variables & Operators 02:44:02 - Built in Functions 03:06:28 - Control Flow Statements 03:34:35 - Loops in Python 03:54:14 - Use Defined Functions 04:16:40 - Strings in Python 04:36:00 - List in Python 04:57:36 - Tuples in Python 05:08:22 - Dictionary 05:31:45- Sets 05:38:40 - Numpy Library 05:57:05 - Pandas Library 06:31:26 - Matplotlib Library 07:10:13 - Voice Assistant AI Project 07:18:59 - Statistics 08:11:39 - Mean , Mode ,Median 08:32:06 - Scipy Library 08:40:52 - Measure of Disperssion 09:02:20 - Sample Variance 09:20:51 - Normal & Gaussian Distribution 09:40:20 - Uniform Distribution 09:48:09 - Inferential Statistics 09:56:56 - Hypothesis Testing Mechanism 09:58:00 - Z,P,Anova Test 10:35:58 - Machine Learning full course 10:51:32 - Machine Learning Types 11:03:14 - Supervised Machine Learning 11:04:41 - Unsupervised Machine Learning 11:05:23 - Reinforcement Learning 11:20:13 - Linear Regression 11:37:04 - Bias vs.Variance Trade-off 11:45:56 -Ridge Regression 12:00:00 - Lasso Regression 12:10:55 - Logistic Regression Algorithm 12:21:50 - Introduction to Logistic Regression 12:32:45 - Sigmoid Function Mathematics 12:43:40 - Linear Regression Line 12:54:35 - Visualizing the Confusion Matrix with Heatmaps 13:05:30 - Naive Bayes Algorithm Fundamentals 13:16:25 - Dependent and Independent Events 13:27:20 - Bayes Theorem Formula Construction 13:38:15 - Gaussian Naive Bayes Implementation 13:49:10 - K-Nearest Neighbors (KNN) Theory 14:00:05 - Manhattan vs. Euclidean Distance 14:11:00 - Decision Tree Algorithm Structure 14:21:55 - Unsupervised Algorithms 14:32:50 - Ensemble Techniques: Bagging vs. Boosting 14:43:45 - Bootstrap Aggregating 14:54:40 - Random Forest Algorithm 15:05:35 - AdaBoost Algorithm 15:16:30 - K-Means Clustering Algorithm 15:27:25 - The Elbow Method for Optimal Clusters 15:38:20 - Hierarchical Clustering and Dendrograms 15:49:15 - DBSCAN: Density-Based Clustering 16:00:00 - Final Summary 🎯 Who Is This Course For? ✔ Complete Beginners ✔ Students & Freshers ✔ Software Developers ✔ Data Analysts & Data Scientists ✔ AI & Machine Learning Enthusiasts ✔ Anyone Looking to Build a Career in AI 💼 By the End of This Course, You'll Be Able To 🚀 Build AI-powered applications 🚀 Create AI Agents and LLM-based solutions 🚀 Develop real-world AI projects from scratch 🚀 Understand modern AI frameworks and workflows 🚀 Build a strong portfolio for AI Engineer roles ✨ Kickstart your career in a Data Analyst. Apply today! - https://www.theiscale.com/DataAnalyti... ❇️ Explore our Job Oriented Courses: https://www.theiscale.com/explore-course ➖➖➖➖➖➖ 📱 For Any Further Query or Doubts? Contact- 7880-113-112 (Student Helpline Number) For any query connect in WhatsApp with us: https://wa.me/917880113112 ➖➖➖➖➖➖ ✳️ Join Telegram Channel- https://t.me/TheiScale ✳️ Join WhatsApp Channel- https://whatsapp.com/channel/0029VaB5... ➖➖➖➖➖➖➖ 🔗 Download App Google Play : https://play.google.com/store/apps/de...