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Unlock the power of modern back-end development using Python and FastAPI, one of the fastest frameworks in the industry. In this hands-on course, you'll build a real-world API from scratch while leveraging AI tools to accelerate your coding, debug faster, and write cleaner code. Whether you're a beginner or brushing up your skills, this course will take you from zero to deployment-ready with confidence.
Have questions about this course? Fill in your details below and we'll get back to you.
This course is ideal for developers who have a foundational understanding of Python and want to elevate their skills by learning to build efficient web applications using FastAPI.
It is suitable for intermediate programmers looking to deepen their knowledge of backend development and RESTful API design principles.
Ideal for those who have experience with web frameworks but wish to explore the unique features and performance benefits that FastAPI offers.
This course also caters to software engineers and data scientists who want to integrate FastAPI into their existing projects or workflows for enhanced functionality and speed.
Everything you need to know before getting started
Familiarity with basic programming concepts will be beneficial and prior experience with Python is required, as the course will not cover Python fundamentals.
Understanding of web development concepts is not necessary; the course will introduce essential web technologies and principles as part of the curriculum.
No prior knowledge of FastAPI or any web frameworks is needed; the course will provide a comprehensive introduction to FastAPI and its features.
Basic knowledge of databases is helpful but not required; the course will explain database interactions and how to integrate them with FastAPI from scratch.
Master Backend Development with Python, FastAPI, and AI Guidance
In today’s tech-driven world, back-end skills are in high demand and FastAPI is one of the fastest-growing frameworks that top developers and companies are adopting. This course is your complete guide to mastering back-end development using Python and FastAPI, with a powerful twist: you'll learn how to integrate AI tools to accelerate your workflow, improve your code quality, and build smarter.
We’ll start from scratch, covering everything from setting up your development environment to building and deploying a real-world, production-ready API. You’ll build a full-featured application that touches on all key areas of back-end development like user authentication, database models, async operations, background jobs, testing, file uploads, and more.
But what makes this course different? You’ll learn not just how to write code, but also how to write it efficiently with help from AI assistants like GitHub Copilot and ChatGPT. You’ll see how AI can serve as your coding partner helping you brainstorm, debug, document, and even refactor code without replacing your learning.
India Standard Time (IST)
Duration
5 Weeks
Total Hours
20 hours
Weekly Hours
4.0h per week
Classes per Week
2 sessions
2
weekly classes
Get unlimited access to all course content, video lectures, downloadable resources, practice exercises, and future updates for a full 2 years.
Join our vibrant learning community where you can ask questions, share insights, connect with like-minded peers, and get support throughout your educational journey.
Participate in weekly live sessions with expert instructors. Ask questions in real-time, get immediate clarification, and engage with fellow students in an interactive environment.
Apply your knowledge with carefully crafted assignments that mirror real-world scenarios. Get personalized feedback from instructors to improve your skills.
Regular assessments to track your progress and identify areas for improvement. Instant feedback helps you understand concepts better and reinforces learning.
Earn a professional certificate upon successful completion of the course. Our certificates are recognized by industry leaders and can boost your career prospects.
Included at no extra cost
Pytest for automated testing
Docker for containerizing the application
Deployment on platforms like AWS EC2, Railway, Render, etc.
Fulltime Freelancer with 7+ years of IT industry and freelance experience in LLM inference, training, and application development, AI Assistant/Agent development using LLMs, API development with Python+Flask/FastAPI and NodeJS+Express, AI/ML/DL project development in the field of Image Classification, Object Detection, Natural Language Processing (NLP), search engine development using Vector Database, chatbot development on Google Dialogflow ES/CX. 5+ years of experience with Google DialogFlow ES/CX and Actions on Google. Part-time YouTuber.
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