AI Engineering Bootcamp: Build, Train & Deploy Models with AWS SageMaker
Автор:
Последнее обновление:
November 2024
Субтитры:
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
Аудио:
English
Обзор
Структура
Всего разделов: 20
Всего уроков: 101
1. Section 0: Introduction
6 уроков
2. Section 1: Introduction to AWS, Environment Setup, and Best Practices
8 уроков
3. Section 2: A Gentle Introduction to HuggingFace in SageMaker
2 урока
4. Section 3: Gathering a Dataset for Our Multiclass Text Classification Project
5 уроков
5. Section 4: Exploratory Data Analysis
3 урока
6. Section 5: Setting Up Our Training Notebook
2 урока
7. Section 6: Introduction to Tokenizations and Encodings
7 уроков
8. Section 7: Setting Up Data Loading with PyTorch
3 урока
9. Section 8: Choose Your Path
1 урок
10. Section 9: Mathematics Behind Large Language Models and Transformers
26 уроков
11. Section 10: Customizing our Model Architecture in PyTorch
3 урока
12. Section 11: Creating the Accuracy, Training, and Validation Function
4 урока
Автор
Цена
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
Часто задаваемые вопросы
- 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.
Plus, you can customize text size, color, background, and more to ensure the subtitles suit your preferences perfectly!
If you have more inquiries specifically about the Academy membership, no worries! Just check out our additional FAQ section here.
Гарантия
Период гарантийного обслуживания 30 дней, начиная с дня покупки.
AI Engineering Bootcamp: Build, Train & Deploy Models with AWS SageMaker
