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?AI Accelerator Program - From Prompts to Agentic Workflows - https://www.simplilearn.com/ai-accelerator-program?utm_campaign=8tGJyBO9FpY&utm_medium=DescriptionFF&utm_source=Youtube
?Microsoft Applied Generative AI and Agentic AI Specialization - https://www.simplilearn.com/microsoft-applied-ai-course?utm_campaign=8tGJyBO9FpY&utm_medium=DescriptionFF&utm_source=Youtube
?Virginia Tech Applied Agentic AI: Systems Design & Impact - https://www.simplilearn.com/vt-applied-agentic-ai-course?utm_campaign=8tGJyBO9FpY&utm_medium=DescriptionFF&utm_source=Youtube
?Michigan Engineering Generative AI Applications for Leaders - https://www.simplilearn.com/generative-ai-for-business-transformation?utm_campaign=8tGJyBO9FpY&utm_medium=DescriptionFF&utm_source=Youtube
This video on **Gen AI Application Development Tutorial 2026 by Simplilearn** will help you understand how Generative AI applications are designed, developed, and deployed from the ground up.
You’ll learn the fundamentals of Generative AI application development and how modern AI-powered applications work.
The tutorial explains how Large Language Models (LLMs) can be integrated into real-world applications.
You’ll explore prompt engineering techniques for improving the quality and accuracy of AI-generated responses.
We’ll also look at APIs, AI models, frameworks, and tools commonly used for building Gen AI applications.
You’ll understand how developers can connect AI models with external data sources and application workflows.
The video also covers important concepts such as Retrieval-Augmented Generation (RAG), embeddings, and vector databases.
You’ll discover how Gen AI can be used to build chatbots, AI assistants, content-generation tools, and intelligent business applications.
Practical examples will help you understand the complete Gen AI application development workflow.
You’ll also learn key considerations around model selection, application performance, scalability, and responsible AI development.
Whether you are a beginner, developer, student, or working professional, this tutorial will help you build a strong foundation in Generative AI application development.
Watch till the end to understand how you can start building powerful Gen AI applications in 2026.
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➡️ About Applied Generative AI Specialization
The Applied Gen AI Course equips learners with the skills to build AI-driven solutions. Learn to design, train, and deploy models while addressing ethics, bias, and compliance. Gain industry-relevant experience through hands-on projects to drive innovation and stay competitive in an AI-powered world.
Key Features
✅ Get a program completion certificate from Michigan Engineering Professional Education
✅ Engage in 70+ hours of live online sessions led by industry experts
✅ Access a comprehensive curriculum covering Python, AI literacy, and GenAI principles (VAEs, GANs, and LLMs)
✅ Explore agentic frameworks and create adaptive AI agents using LangChain
✅ Implement advanced prompt engineering, RAG, and fine-tune models for domain-specific AI solutions
✅ Apply best practices for AI transparency, fairness, security, and regulatory compliance
✅ Work with 12+ modern AI tools, including OpenAI, Stable Diffusion, Microsoft Copilot, and Streamlit
✅ Earn a course completion certificate hosted on the Microsoft Learn portal for Microsoft courses
✅ Experience flexible learning with session recordings
✅ Simplilearn's JobAssist helps you get noticed by top hiring companies
✅ Gain 24/7 access to Simplilearn’s Learning Management System (LMS)
Skills Covered
✅ Prompt Engineering
✅ Agentic Frameworks
✅ AI Agents
✅ LangChain for Workflow Design
✅ Retrieval Augmented Generation RAG
✅ LLM Fine Tuning
✅ Stable Diffusion
✅ Variational Autoencoders VAEs
✅ Generative Adversarial Networks GANs
✅ Attention Mechanisms
✅ Transformers
✅ GenAI Application Development
✅ LLM Benchmarking
✅ GenAI Governance
✅ AI Image Generation
? Enroll Now: https://www.simplilearn.com/applied-ai-course?utm_campaign=l_Zg237msTg&utm_medium=Description&utm_source=Youtube