Learning Objectives
Data Engineering
[20%] Design and implement data repositories, ingestion, and transformation solutions to support machine learning workflows on AWS.
Exploratory Data Analysis
[24%] Prepare and analyze data for modeling by performing data sanitization, feature engineering, and visualization techniques.
Modeling
[36%] Frame business problems as machine learning tasks, select appropriate models, and train, evaluate, and optimize models for performance.[36%] Frame business problems as machine learning tasks, select appropriate models, and train, evaluate, and optimize models for performance.
Machine Learning Implementation and Operations
[20%] Deploy and monitor machine learning models in production environments, implementing best practices for scalability, reliability, and security on AWS.
- Intellectual Point’s AWS Certified Machine Learning - Specialty training course is meticulously designed to equip learners with the critical knowledge and skills required to deploy advanced machine learning models on the AWS platform. This course prepares candidates for the AWS Certified Machine Learning - Specialty exam while ensuring they gain practical expertise in utilizing AWS machine learning services effectively. Whether you are a machine learning engineer or a data scientist, this course provides comprehensive insights into AWS environments' machine learning workflows, from learning about data exploration to modeling and operationalizing machine learning applications.
- Throughout the training, you will explore key concepts such as defining machine learning problems, selecting appropriate AWS solutions, implementing data pipelines, and optimizing model performance. The course includes hands-on projects and labs, enabling you to apply techniques like data preprocessing, feature engineering, and automation within AWS. By the end of the program, you'll be ready to not only pass the certification exam but also apply machine learning solutions confidently in cloud-based environments. By the end of this course, participants will:
- 1) Develop the ability to define and solve machine learning problems using AWS solutions.
- 2) Implement and manage AWS data pipelines to support machine learning tasks.
- 3) Optimize machine learning models on AWS for enhanced performance and efficiency.
- 4) Gain hands-on experience in deploying and operationalizing ML models in cloud environments.
- 5) Thoroughly prepare for the AWS Certified Machine Learning - Specialty exam to excel in your career.
Tuition & Hours
Tuition is charged by course. The cost of the certification exam is not included in the tuition and is a separate cost based on the current rates as set by the vendor.
Course | Total Hours | Tuition |
---|---|---|
AIML-201: AWS Certified Machine Learning – Specialty | 72 | $4,499.00 |
Books & Supplies
There are no additional charges for books or supplies.
Indirect Costs
Should a student wish to obtain the AWS Certified Machine Learning – Specialty certification exam, the cost is an additional fee not covered in tuition. While encouraged, the exam is not a required expense to be paid at the time of enrollment. To obtain a voucher for the certification exam, you will need to purchase it separately.
Course | Exam | Exam Fee |
---|---|---|
AIML-201: AWS Certified Machine Learning – Specialty | AWS Certified Machine Learning – Specialty | $300 |
Program Award
Upon successful completion of the course, the student will receive a Certificate of Completion for AWS Certified Machine Learning – Specialty Training.
* Exam fees are quoted based on time of publication. Voucher prices may change based on vendor rates and are updated accordingly. Please contact Intellectual Point to verify exam fee charges.
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Amazon Web Services Certified Cloud Practitioner Course at Intellectual Point Includes:
- Live instructor-led training in modern classrooms
- A thorough review of AWS Cloud Practitioner by industry experts
- Hands-on labs with computer hardware and software
- 100% latest material & and all practice questions
- Confidence building hands-on training
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- Study material, notes, videos, and practice questions included in the course price.
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