Practical Data Science with Amazon SageMaker Course in Netherlands
Master ML with Amazon SageMaker
Get real-world insights from certified instructors
Apply machine learning to tackle real business challenges
Gain in-demand ML skills and boost your job prospects
Learn at your own pace with flexible, instructor-led sessions
Master the full ML workflow and its practical applications
Convenient and hassle-free payment plans
4.8/54.8/5Overview
What our training includes:
- Learn how to prepare data efficiently using SageMaker Data Wrangler
- Build models with advanced algorithms such as XGBoost on SageMaker
- Assess & improve models through hyperparameter tuning in SageMaker
- Deploy models to live endpoints using Amazon SageMaker seamlessly
- Master MLOps workflows for automating & tracking model deployment
- Get practical skills in no-code ML using Amazon SageMaker Canvas
Upcoming sessions
Curriculum
Benefits of machine learning (ML)
Types of ML approaches
Framing the business problem
Prediction quality
Processes, roles, and responsibilities for ML projects
Data analysis and preparation
Data preparation tools
Demonstration: Review Amazon SageMaker Studio and Notebooks
Hands-On Lab: Data Preparation with SageMaker Data Wrangler
Steps to train a model
Choose an algorithm
Train the model in Amazon SageMaker
Hands-On Lab: Training a Model with Amazon SageMaker
Amazon CodeWhisperer
Demonstration: Amazon CodeWhisperer in SageMaker Studio Notebooks
Model evaluation
Model tuning and hyperparameter optimization
Hands-On Lab: Model Tuning and Hyperparameter
Optimization with Amazon SageMaker
Model deployment
Hands-On Lab: Deploy a Model to a Real-Time Endpoint
and Generate a Prediction
Responsible ML
ML team and MLOps
Automation
Monitoring
Updating models (model testing and deployment)
Different tools for different skills and business needs
No-code ML with Amazon SageMaker Canvas
Demonstration: Overview of Amazon SageMaker Canvas
Amazon SageMaker Studio Lab
Demonstration: Overview of SageMaker Studio Lab
(Optional) Hands-On Lab: Integrating a Web Application
with an Amazon SageMaker Model Endpoint
Meet your Trainer
Our Trainers
Learners Point has a reputation for high-quality training that makes a difference in people's lives. We undertake a practical and innovative approach to working closely with businesses to improve their workforce. Our expertise is wide-ranging with ample support from our expert trainers who are globally recognized and hold a diverse set of experiences in their field of expertise. We are proud of our instructors who take ownership of our distinctive and comprehensive training methodologies, help our students imbibe those with ease, and accomplish gracefully.
We at Learners Point believe in encouraging our students to embark upon a journey of lifelong learning and self-development, with the aid of our comprehensive and distinctive courses tailored to current market trends. The manifestation of our career-oriented approach is what we assure through a pleasant professional enriched environment with cutting-edge technology, and an outstanding while highly acknowledged training staff that uses up-to-date methodologies and quality course material. With our aim to mold professionals to be future leaders, our industry expert trainers provide the best in town mentorship to our students while endowing them with the thirst for knowledge and inspiring them to strive for professional and human excellence.
Learning Outcomes
Upon finishing the training, you will:
1
Master data preparation using SageMaker Data Wrangler for workflows
2
Train ML models with XGBoost & enhance using hyperparameter tuning
3
Deploy machine learning models to real-time endpoints through Amazon SageMaker
4
Apply MLOps methods to automate, monitor, & manage deployed models
5
Get practical experience in no-code machine learning via SageMaker Canvas
KHDA Certificate
Earn a KHDA attested Course Certificate. The Knowledge and Human Development Authority (KHDA) is the educational quality assurance and regulatory authority of the Government of Dubai, United Arab Emirates.
Learners Point Certificate
Earn a Course Completion Certificate, an official Learners Point credential that confirms that you have successfully completed a course with us.
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Frequently asked questions
The Practical Data Science with Amazon SageMaker course in Netherlands teaches professionals to create, train, and deploy machine learning models using Amazon SageMaker. You learn to prepare data using tools like SageMaker Data Wrangler. More challenging topics, like model training with algorithms like XGBoost and deploying models for use, are also covered. You further explore supervised, unsupervised, and reinforcement learning, hyperparameter tuning, MLOps automation, and no-code machine learning with SageMaker Canvas.
After earning this certificate, you are eligible to apply for job positions like -
- Data Scientist
- Machine Learning Engineer
- AI Specialist
- Cloud Data Engineer
- MLOps Engineer
- Predictive Analytics Expert
Professionals are issued a 100% refund upon withdrawing from the course within two days of registering by submitting a written request. The refund is processed within four weeks of approval.
In this Practical Data Science with Amazon SageMaker Training in Netherlands, you get practical experience through working with several tools and applications, like -
- Amazon SageMaker Data Wrangler
- Amazon SageMaker Studio and Notebooks
- SageMaker Canvas for no-code ML
- SageMaker MLOps tools
- AWS cloud services integrated with SageMaker
This Practical Data Science with Amazon SageMaker course teaches model performance optimisation through various methods, including -
- Hyperparameter tuning exercises
- Comparing model accuracy metrics
- Learning trade-offs between cost and performance
- Best practices for improving models
Do you want to learn more about Learners Point Academy?
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