Description
Certified Full Stack AI Engineer Course. This course provides a comprehensive overview of how to build AI-powered applications across the front-end, back-end, and advanced model integration to become a full-stack AI engineer. Artificial intelligence is changing the way businesses build products, serve customers, automate operations, and create new opportunities. The Full Stack AI Engineer course is designed to teach students how to implement real-world AI-powered applications from scratch. In this course, participants learn how to combine full-stack development with modern AI tools and create functional applications that solve real-world business problems. Topics include front-end development, back-end development, application programming interfaces (APIs), databases, authentication, deployment, AI model integration, automation workflows, retrieval augmented search (RAG) systems, and AI-based product development. Students learn how to build user-friendly web applications, connect them to AI models like OpenAI and Claude, store and manage data, create intelligent assistants, develop document-based AI systems, and deploy complete AI solutions to real users. The course is designed to be completely practical and project-based, focusing on real-world use cases such as chatbots, customer support agents, content creation tools, business automation systems, intelligent dashboards, document assistants, and software-as-a-service (SaaS) applications rather than just theory. By the end of this course, learners will have the confidence and practical skills to design, build, test, and deploy full-stack AI applications. They will also have portfolio-ready projects that can support job opportunities, freelance work, consulting services, or launching their own AI products. Whether you are a beginner, an aspiring developer, an AI consultant, an automation expert, a technology professional, an entrepreneur, or someone changing careers, this course will help you develop the skills you need to enter the growing AI economy.
What you will learn
- Building full-stack AI applications: Create complete AI-based applications from scratch using modern tools and frameworks.
- Understand the basics of web development: Know the basics of front-end development, back-end development, APIs, databases, and the deployment process.
- User Interface Design: Building beautiful, responsive user interfaces for AI applications.
- Developing secure backend systems: Building secure backend systems to process user requests, store data, and connect to AI models.
- Building bots and intelligent assistants: Implementing chatbots, AI assistants, and automation tools for real-world business scenarios.
- Implementing RAG systems: Building document-based AI assistants using the RAG technique and vector databases.
This course is suitable for people who:
- Beginners: Those who want to learn how to build AI applications even without advanced programming experience.
- Aspiring Developers: People who want to learn front-end, back-end, database, and AI connectivity development as full-stack AI engineers.
- AI Consultants: Professionals who aim to build real AI solutions for businesses, rather than just providing advice.
- Entrepreneurs and founders: People who want to launch their own AI tools, SaaS products, internal business applications, or customer-centric solutions.
Certified Full Stack AI Engineer Course Specifications
- Publisher: Udemy
- Instructor: JayTech AI Academy
- Training level: Beginner to advanced
- Training duration: 7 hours and 16 minutes
- Number of lessons: 35
Course topics
Certified Full Stack AI Engineer Course Prerequisites
- No advanced programming experience is required. This course is designed to guide students step by step.
- Basic computer skills are recommended, including using a browser, installing software, managing files, and working with online tools.
- A laptop or desktop computer with a reliable internet connection is required.
- Basic understanding of websites, applications, or technology will be helpful, but it is not mandatory.
Course images
Sample course video
Installation Guide
After Extract, view with your favorite player.
Subtitles: None
Quality: 1080p
Download link
Rapidgator link
File(s) password: www.downloadly.ir
File size
1.5 GB