Explanation
2023 Become an AWS SageMaker ML Engineer in 30 days + ChatGPT is a complete tutorial to learn AWS SageMaker ML. The future of machine learning is one of the most technologically advanced areas you will be in right now! ML and AI will change our lives in the same way that electricity did 100 years ago. ML has been widely adopted in finance, banking, healthcare, transportation and technology. This area is bursting with opportunities and job prospects.
What you will learn in this course:
- Build, train, test and deploy machine learning models on AWS
- Use ChatGPT and GPT-4 to automate code tasks, deploy code, write documentation, and add new features to your code.
- Define and create image and text labeling functions using AWS SageMaker GroundTruth
- Prepare, clean, and visualize data using AWS SageMaker Data Wrangler without writing code.
- Optimizing parameter estimates for ML models using GridSearch, Bayesian and database optimization methods
- And many more
Who is this course for:
- Beginner developers who want to break into AWS machine learning
- Beginning data scientists who want to develop their skills and build their portfolio
- Experienced consultants who want to transform businesses using AI/ML using AWS
- Tech enthusiasts who are interested in data science and artificial intelligence and want to get hands-on experience using AWS.
Course specifications:
- Publisher: Udemy
- Teachers: Dr. Ryan Ahmed
- Language : English
- Level: Beginner
- Duration : 42h 53m
- number of lessons: 481
- Format: mp4
The course includes:
Requirements:
- Basic Python Programming knowledge
- Basic knowledge of AWS
- Basic knowledge of machine learning
Images 2023 Become an AWS SageMaker ML Engineer in 30 days + ChatGPT
Example clip:
Installation guide:
After the production, you can watch the course in your favorite video.
subtitle : English
Quality: 720p
Download links:
Password: free download software
File size:
18.2GB