AI Engineer Roadmap 2026 | How To Become An AI Engineer In 2026 | SCRUM Master Skills | Simplilearn
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This video on AI Engineer Roadmap 2026 by Simplilearn explains how beginners can start learning AI engineering and build the skills needed for real-world AI roles.The video explains artificial intelligence, machine learning, deep learning, generative AI, and agentic AI in simple terms.You will learn the important foundations of Python, APIs, Git, GitHub, and cloud platforms such as AWS, Microsoft Azure, and Google Cloud.The AI engineer roadmap also covers how large language models work, including tokens, context windows, and embeddings.The video explains AI agents, tool calling, and how AI systems can interact with APIs, databases, and other applications.
The roadmap covers practical AI projects such as document assistants, AI agents, and production-ready AI applications.
You will learn how to build an AI engineer portfolio and present your projects effectively on your resume, GitHub, and LinkedIn.
The video also explains the AI engineer job market, hiring trends, salary expectations, and the skills companies look for in candidates.
By the end, beginners, students, freshers, working professionals, and career switchers will have a clear path to becoming an AI engineer in 2026.
00:00:06 Introduction to AI Engineer Roadmap 2026
00:01:31 Agenda
00:03:55 Quiz Question
00:04:14 What Does an AI Engineer Do?
00:05:51 AI, Machine Learning, Generative AI & Agentic AI
00:07:55 AI Engineer Jobs and Salary
00:09:34 What You Can Skip While Learning AI
00:11:37 AI Engineer Foundations
00:12:30 Python, APIs, Git, GitHub & Cloud
00:15:13 How Large Language Models Work
00:16:06 Tokens, Context Windows & Embeddings
00:18:51 Retrieval-Augmented Generation (RAG)
00:19:50 AI Agents and Tool Calling
00:20:49 Deploying AI Applications to Production
00:21:42 AI Cost Optimization and Evaluation
00:23:39 Building an AI Engineer Portfolio
00:27:10 Resume and LinkedIn for AI Engineers
00:28:07 AI Engineer Roadmap: Months 1–3
00:29:00 AI Engineer Roadmap: Months 4–6
00:30:26 AI Engineer Roadmap Summary
00:31:12 Outro
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➡️ About Professional Certificate in AI and Machine Learning
Build advanced skills in Python, data science, machine learning, deep learning, NLP, and generative AI with this Professional Certificate in AI and Machine Learning program. Gain practical experience through integrated labs, industry-aligned projects, and a capstone designed to help you solve real-world challenges.
Key Features:
✅ Simplilearn's JobAssist helps you get noticed by top hiring companies
✅ Learn about emerging AI trends through Simplilearn's AI Impact Studio
✅ Train and optimize neural networks for complex data interpretations
✅ Explore generative AI capabilities and learn to build AI applications
✅ Learn how to create conversational chatbots and support agents
✅ Gain insights into the latest developments in GenAI, prompt engineering, and more
Skills Covered
✅ Generative AI
✅ Agentic AI
✅ Prompt Engineering
✅ Conversational AI
✅ ML Model Training
✅ ML Model Evaluation
✅ Deep Learning
✅ Speech Recognition
✅ Statistics
✅ Machine Learning Algorithms
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