Description
Build an AI Automated Ordering System with Python & AWS. This course designs and develops an AI-based automated ordering system using Python and Amazon Cloud Services. Many programmers build AI models but don’t know how to apply them to real-world business problems. This course is not just a simple programming tutorial, but a practical guide to developing software designed to solve real-world logistics challenges using Python and Amazon Cloud Infrastructure. This course bridges the gap between AI theory and practical business systems, showing learners how to incorporate complex, real-world constraints, such as long cross-border logistics times or reducing inventory during the rainy season to prevent rust, into their system architecture. The course is designed to help developers complete the entire development cycle without the need for complex local setups and through a web browser using tools like Google Cloud and Amazon Cloud Shell. Course topics include serverless architecture, using container images to run heavy AI libraries, and implementing business logic to combine AI predictions with rigorous business rules. Topics start with introduction and system structure and progress to synthetic data generation, implementing demand forecasting models, containerization with Docker, deploying serverless functions, simulation through API connections, and managing audit logs with database streams. The instructor, with practical experience in manufacturing, supply chain management, and IT consulting, conveys complex concepts in simple, practical language. This course provides a comprehensive and structured path for individuals who want to apply their Python programming knowledge and cloud tools to solving real-world logistics and warehousing problems to advance their skills to an industrial deployment level.
What you will learn
- Building Serverless Applications: Design and develop AI applications using Python, Docker, and Amazon Serverless.
- Demand Forecasting with Machine Learning: Implementing Forecasting Models Using the Skypass and Pandas Libraries.
- Logistics logic design: Implementing real-world rules such as calculating safety stock and delivery times.
- Automate data flows: Use database and storage service flows to manage reports and audits.
- Browser-based development: Complete the software development process using cloud tools without the need for heavy hardware systems.
- Simulation and scenario testing: Evaluating system performance through the integration of application programming interfaces.
This course is suitable for people who:
- Python learners: People who want to move beyond basic kinematics and build business applications.
- Supply chain and logistics professionals: People who want to understand how to improve business operations with the help of artificial intelligence and cloud technology.
- Software and Infrastructure Engineers: Developers interested in serverless architectures, Docker containers, and machine learning engineering fundamentals.
Course specifications Build an AI Automated Ordering System with Python & AWS
- Publisher: Udemy
- Instructor: Maruchin Tech
- Training level: Beginner to advanced
- Training duration: 2 hours and 27 minutes
- Number of lessons: 33
Course topics
Prerequisites for the Build an AI Automated Ordering System with Python & AWS course
- A Google account (to use Google Colab) and an AWS account (free tier is sufficient) are required.
- Basic knowledge of Python syntax and AWS is helpful, but not required. We will build everything step-by-step.
- No high-spec PC is required; all development is completed within the browser (CloudShell & Colab).
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