Why should you master AWS Machine Learning?
AWS Machine Learning Certification in Lacrosse Wisconsin United States validates an individual’s ability to create, train, and distribute ML models utilizing AWS. This certification concentrates on areas including data engineering, EDA, and ML implementation using AWS tools such as SageMaker. It shows that individuals possess the required expertise in designing and deploying efficient ML solutions. Organizations require these capabilities to gain insights and drive decisions from data, which makes this certification very relevant. AWS Machine Learning Certification has multiple benefits, such as development of career potential, recognition of technical expertise, and making a valuable contribution to one’s organizational strategy based on data. The certification is proof of mastery in one of the most popular fields within the technology sphere today.
Boost Your Career with AWS Machine Learning Training
AWS Machine Learning Training in Lacrosse Wisconsin is designed for IT professionals, data scientists, and engineers to advance their careers through AWS ML services. This course is beneficial for data scientists, machine learning engineers, developers, and data engineers. It includes detailed topics including data engineering, data preparation and feature engineering, model training and evaluation, and model deployment and operations with Amazon SageMaker. The training also incorporates multiple assignments with actual project-based and case-based scenarios to equip the participant with a realistic experience in crafting and deploying ML models. On completion of this course, the participants will acquire the skills needed to apply large-scale ML solutions. Thus, making them crucial employees for any organization that relies on data for decision-making processes.
What to expect from AWS Machine Learning Exam?
AWS Machine Learning Exam in Lacrosse Wisconsin verifies a professional’s understanding of machine learning in the AWS environment and services. The exam lasts 180 minutes and encompasses 65 questions of multiple choice and multiple response types. Apart from covering general AI and ML knowledge, this exam guarantees professionals’ capacity to create, train, optimize, and implement ML models on the AWS SageMaker. Passing this exam increases one’s employability and assures their competency to potential employers, it leads to higher career paths. The ideal candidates prove their suitability in driving significant impact on the ML and data strategy of their organizations.
Corporate Group Training
- Customized Training
- Live Instructor-led
- Onsite/Online
- Flexible Dates
AWS Machine Learning Exam Details in Lacrosse Wisconsin | |
Exam Name | AWS Machine Learning Certification |
Exam Format | Multiple choice, Multiple-response |
Exam Cost | USD 300 |
Total Questions | 65 Questions |
Passing Score | 70% |
Exam Duration | 180 minutes |
Key Features of AWS Machine Learning Certification Training in Lacrosse Wisconsin United States
AWS Machine Learning Training in Lacrosse Wisconsin United States offered by Unichrone provides a comprehensive and flexible learning experience designed to meet diverse learning needs. The training is available in two formats: live online instructor-led sessions for interactive and real-time engagement, and in-classroom training for a personalized, hands-on learning experience. The curriculum covers all aspects of AWS ML services, from fundamental concepts to advanced techniques, including data engineering, model training and evaluation, and deployment using Amazon SageMaker. This course is taught by certified AWS professionals with extensive industry experience, ensuring high-quality instruction. AWS Machine Learning Training in Lacrosse Wisconsin offers flexible scheduling, access to extensive study materials, practice exams, and ongoing support to ensure a thorough understanding of the material. This training equips participants with the necessary skills to excel in field of machine learning, significantly enhancing career prospects and technical expertise in a competitive job market.
- 2 Day Interactive Instructor –led Online Classroom or Group Training in Lacrosse Wisconsin United States
- Course study materials designed by subject matter experts
- Mock Tests to prepare in a best way
- Highly qualified, expert trainers with vast industrial experience
- Enrich with Industry best practices and case studies and present trends
- AWS Machine Learning Training Course adhered with International Standards
- End-to-end support via phone, mail, and chat
- Convenient Weekday/Weekend AWS Machine Learning Training Course schedule in Lacrosse Wisconsin United States
AWS Machine Learning Certification Benefits
Higher Salary
With this renowned credential, aspirants earn higher salary packages when compared to non-certified professionals in the field
Individual accomplishments
Aspirants can look for higher career prospects at an early stage in their life with the most esteemed certification
Gain credibility
Owning the certification makes it easier to earn the trust and respect of professionals working in the same field
Rigorous study plan
The course content is prescribed as per the exam requirements, covering the necessary topics to ace the exam in the first attempt
Diverse job roles
Attaining the certification enhances the spirit of individuals to pursue diverse job roles in the organization
Sophisticated skillset
With this certification, individuals acquire refined skills and techniques required to play their part in an organization
AWS Machine Learning Training Course Curriculum
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Module 1: Get Started with Machine Learning
Topics
- · Artificial Intelligence
- · Machine Learning
- · Deep Learning
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Module 2: Machine Learning and Deep Learning Theory
Topics
- · Machine Learning Concepts
- · Machine Learning Lifecycle
- · Supervised Learning, Unsupervised Learning, and Reinforcement Learning
- · Optimisation
- · Hyperparameters and Validation
- · Machine Learning Algorithms
- · Linear Regression
- · Logistic Regression and Syntax of Logistic Regression
- · Support Vector Machines
- · Decision Tree and Random Forests
- · Latent Dirichlet Allocation
- · Deep Learning Algorithm
- · Model Performance and Optimisation
- · Machine Learning Tools and Frameworks
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Module 3: Amazon Web Services
Topics
- · Introduction to AWS Services
- · S3
- · Glue
- · Athena
- · Quick Start
- · Kinesis Data Stream and Kinesis Data Firehose
- · Kinesis Video Streams
- · Kinesis Data Analytics
- · EMR with Spark
- · Amazon ML
- · AWS Application Services AI/MI
- · Amazon Recognition
- · Amazon Polly
- · Amazon Translate
- · Amazon Comprehend
- · Amazon Lex
- · Amazon Service Chaining with AWS Step Functions
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Module 4: Amazon SageMaker
Topics
- · What is Amazon SageMaker?
- · Three Stages
- · Control SDK and Control Notebooks
- · SageMaker Notebooks
- · Build
- · Data Preprocessing
- · Ground Truth
- · Preprocessing Image Data
- · Algorithms
- · Train
- · SageMaker Algorithms-Architecture
- · Training an Image Classifier
- · Hyperparameter Tunning
- · Deploy
- · Inference Pipelines
- · Real-Time and Batch Inference
- · Deploy an Image Classifier
- · Accessing Inference form Apps
- · Create a Custom APIs for Inference
- · Security
- · Securing SageMaker Notebooks
- · SageMaker and the VPC