AI Engineering Bootcamp: Build, Train & Deploy Models with AWS SageMaker
Author:
Last updated:
November 2024
Subtitles:
English, Français, Deutsch, Español, العربية, Nederlands, Vlaams, हिन्दी, हिंदी, Bahasa indonesia, 日本語 (にほんご／にっぽんご), Português, Română
Audio:
English
Overview
Structure
Total sections: 20
Total lessons: 101
1. Section 0: Introduction
6 lessons
2. Section 1: Introduction to AWS, Environment Setup, and Best Practices
8 lessons
3. Section 2: A Gentle Introduction to HuggingFace in SageMaker
2 lessons
4. Section 3: Gathering a Dataset for Our Multiclass Text Classification Project
5 lessons
5. Section 4: Exploratory Data Analysis
3 lessons
6. Section 5: Setting Up Our Training Notebook
2 lessons
7. Section 6: Introduction to Tokenizations and Encodings
7 lessons
8. Section 7: Setting Up Data Loading with PyTorch
3 lessons
9. Section 8: Choose Your Path
1 lesson
10. Section 9: Mathematics Behind Large Language Models and Transformers
26 lessons
11. Section 10: Customizing our Model Architecture in PyTorch
3 lessons
12. Section 11: Creating the Accuracy, Training, and Validation Function
4 lessons
Author
Price
Unlimited access to all courses, projects + workshops, and career paths
Access to our private Discord with 400,000+ members
Access to our private LinkedIn networking group
Custom ZTM course completion certificates
Live career advice sessions with mentors, every month
Full access to all future courses, content, and features
Access to our private Discord with 450,000+ members
Unlimited access to all courses, projects, and career paths
Unlimited access to all bootcamps, bytes, and projects, and career paths
Access to our private LinkedIn networking group with 100,000+ members
Unlimited access to all courses, projects + workshops, and career paths
Access to our private Discord with 400,000+ members
Access to our private LinkedIn networking group
Custom ZTM course completion certificates
Live career advice sessions with mentors, every month
Full access to all future courses, content, and features
Access to our private Discord with 450,000+ members
Unlimited access to all courses, projects, and career paths
Unlimited access to all bootcamps, bytes, and projects, and career paths
Access to our private LinkedIn networking group with 100,000+ members
Unlimited access to all courses, projects + workshops, and career paths
Access to our private Discord with 400,000+ members
Access to our private LinkedIn networking group
Custom ZTM course completion certificates
Live career advice sessions with mentors, every month
Full access to all future courses, content, and features
Access to our private Discord with 450,000+ members
Unlimited access to all courses, projects, and career paths
Unlimited access to all bootcamps, bytes, and projects, and career paths
Access to our private LinkedIn networking group with 100,000+ members
Frequently asked questions
- You'll need a basic understanding of Python. If you're starting from scratch, consider enrolling in our Python Bootcamp to get up to speed!
- An Amazon Web Services account is necessary to work with AWS SageMaker. Don't worry; we’ll guide you through the setup process in the course!
- Having a grasp of high school-level math is beneficial, though it's not mandatory (you can easily bypass the more math-intensive parts if needed).
- This course is designed for anyone eager to learn the ins and outs of AWS SageMaker, a comprehensive tool for machine learning and AI, to enhance their employability as an AI Engineer.
- Those aiming to kickstart or boost their career in the field of AI will find this course immensely valuable.
- Ideal for students, developers, machine learning engineers, data scientists, and AI engineers looking to solidify practical machine learning capabilities through real-world model building, training, and deployment.
- This course is perfect for anyone wanting to expand their expertise in AI, machine learning, and deep learning techniques.
- Graduates of bootcamps or online tutorials on Amazon SageMaker seeking to deepen their knowledge beyond the fundamental concepts will benefit greatly.
- Students feeling stuck with the typical beginner AWS SageMaker tutorials that focus only on the basics will appreciate a more immersive experience that provides the skills needed to get hired.
Absolutely! We offer a beautiful certificate upon course completion. You can also proudly add Zero To Mastery Academy to your LinkedIn education section to showcase your achievement.
Indeed! We provide high-quality subtitles in 11 languages: English, Spanish, French, German, Dutch, Romanian, Arabic, Hindi, Portuguese, Indonesian, and Japanese.
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Guaranty
Guaranty period is 30 days, beginning from the purchase day.
AI Engineering Bootcamp: Build, Train & Deploy Models with AWS SageMaker
