AWS Certified Machine Learning Study Guide: Specialty (MLS-C01) Course & Lab

AWS Certified Machine Learning Study GuideIncludes: Lessons, Test Prep, Live Lab, Mentoring (Add On)

Delivery Methodology: Online, On Demand

Price: $279.99 $199.99 (29% Special discount, Limited time offer!)

Language: English

AWS Certified Machine Learning Study Guide: Specialty (MLS-C01) Course & Lab – $199.99

Price: $279.99 $199.99 (29% Special discount, Limited time offer!)

Delivery Methodology: Online, On Demand
Your Advantage:

Lessons: 18+ Lessons | 259+ Exercises | 168+ Quizzes | 188+ Flashcards | 89+ Glossary of terms

TestPrep: 50+ Pre-Assessment Questions | 2+ Full Length Tests | 55+ Post Assessment Questions | 110+ Practice Test Questions

Hand on lab: 27+ LiveLab | 28+ Video tutorials | 01:22+ Hours

Learn at your pace, Certificate of Completion.
100% Money back guarantee, 100% Syllabus covered.
Accessed on Mobile/ PC, Unlimited tests& Quizzes.
Industry Expert Instructors, Regularly Updated content. 

AWS Certified Machine Learning Study Guide: Specialty (MLS-C01) Course & Lab

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    Course Overview

    Gain the skills required to pass the AWS ML specialty exam with the AWS Certified Machine Learning Study Guide: Specialty (MLS-C01) course and lab. The lab provides a hands-on learning experience of machine learning in a safe, online environment. The purpose of this course is for you to understand the concepts and principles behind ML, with the practical goal of passing the AWS Certified Machine Learning Specialty exam. This course is intended for professionals who perform a data science, machine learning engineer role.

    We have established a strategic partnership with  uCertify enabling us to bring you this course at a discounted price.

    Program Outcomes

    • Know about complete generic Machine Learning lifecycle.
    • Know about Algorithms – Supervised, Unsupervised and Reinforcement and which algorithm is best suitable based on the available data either labelled or unlabelled.
    • Evaluation – Know difference in evaluating model accuracy.
    • Handle Overfitting problems- Simplify the model, by reducing number of layers.
    • AWS Machine Learning: Know SageMaker in depth.
    • Comprehend – natural language processing (NLP) service to find insights and relationships in text.
    • Kinesis – Understand Kinesis Data Streams and Kinesis Data Firehose in depth.
    • Understand Management & Governance Tools and storage

    What you will get

    • Lessons: 18+ Lessons | 259+ Exercises | 168+ Quizzes | 188+ Flashcards | 89+ Glossary of terms
    • TestPrep: 50+ Pre-Assessment Questions | 2+ Full Length Tests | 55+ Post Assessment Questions | 110+ Practice Test Questions
    • Hand on lab: 27+ LiveLab | 28+ Video tutorials | 01:22+ Hours
    • AWS Training Courseware: Our AWS Solutions Architect courseware keeps immediate pace with advancements in exam content.
    • AWS Lab/Exam Prep Review Sessions.
    • Take Official AWS Solutions Architect Exam Though Us.
    • Hands-On AWS Labs.
    • Award Winning AWS Solutions Architect Courseware.

    You will receive a Certificate like this one on completion of the program.

    Why KnowledgeSpace Training and Consulting?

    • Modern Learning Management System: Our cloud-based device-enabled learning platform supports self-paced, mentor guided, and instructor led learning.
    • Strong Partnerships: We have strategic Partnerships with renowned international organizations for unrivalled training platforms and content.
    • Modern Delivery Methodology: Enhanced course delivery techniques comprising of: Assessments, test preps, Labs, Instructor led training, Self-paced online Training and Blended Solutions
    • Practical Courses: Courses and labs complete with Pre-Assessments, Exercises, Flashcards, Quizzes, and Post Assessments. Our Hands-on labs are virtual and live environments where students learn by doing.
    • Customer Centricity: We listen to you. You are at the epicenter of what we do. Therefore, you ultimately determine the services you receive from us. We have maintained a Customer Satisfaction rating of 99%. This is a testament to the quality of courses that we deliver.
    • Certified Training Experts: Our training team consists of Certified industry experts who facilitate your learning experience.

    Testimonials

    Syllabus
    Chapter 1: Introduction
    Chapter 2: AWS AI ML Stack
    Chapter 3: Supporting Services from the AWS Stack
    Chapter 4: Business Understanding
    Chapter 5: Framing a Machine Learning Problem
    Chapter 6: Data Collection
    Chapter 7: Data Preparation
    Chapter 8: Feature Engineering
    Chapter 9: Model Training
    Chapter 10: Model Evaluation
    Chapter 11: Model Deployment and Inference
    Chapter 12: Application Integration
    Chapter 13: Operational Excellence Pillar for ML
    Chapter 14: Security Pillar
    Chapter 15: Reliability Pillar
    Chapter 16: Performance Efficiency Pillar for ML
    Chapter 17: Cost Optimization Pillar for ML
    Chapter 18: Recent Updates in the AWS AI/ML Stack

    Live Labs

    • AWS AI ML Stack
    • Supporting Services from the AWS Stack
    • Data Collection
    • Data Preparation
    • Model Training
    • Model Deployment and inference
    • Application Integration
    • Operational Excellence Pillar for ML
    • Security Pillar
    • Reliability Pillar
    • Performance Efficiency Pillar for ML
    • Recent Updates in the AWS AI/ML Stack
    Below are some of the career paths and potential opportunities after passing the AWS Certified Machine Learning (MLS-C01)exam.
    • Machine Learning Engineer.
    • Data Scientist.
    • Machine Learning Architect.
    • AI/ML Consultant.
    • Machine Learning Analyst.
    • Machine Learning DevOps Engineer.
    • Machine Learning Specialist.
    • Machine Learning Educator.
    • Machine Learning Researcher.
    • Machine Learning Product Manager.

    What are the prerequisites for this exam?
    Before you take this exam, it is recommended to have:

    • At least two years of hands-on experience developing, architecting, and running ML or deep learning workloads in the AWS Cloud
    • Ability to express the intuition behind basic ML algorithms.
    • Experience performing basic hyperparameter optimization.
    • Experience with ML and deep learning frameworks
    • Ability to follow model-training, deployment, and operational best practices.
    • What is the exam registration fee? USD 300.
    • Where do I take the exam? PSI or Pearson VUE.
    • What is the format of the exam? Multiple choice and multiple response.
    • How many questions are asked in the exam? The exam contains 65 questions.
    • What is the duration of the exam? 180 minutes.
    • What is the passing score? 750 (on a scale of 100-1000)
    • What is the exam’s retake policy?
      • In the event that you do not pass to pass an AWS Certification exam, you may retake the exam subject to the following conditions:
      • You must wait 14 days from the day you fail to take the exam again.
      • Candidates must pay the exam price each time they attempt the exam.
    • What is the validity of the certification? three years.
    • Where can I find more information about this exam? Know more about MLS-C01
    • Are your courses Accredited? Yes, all our courses are accredited by the respective Certification organization.
    • Do you provide a course completion certificate? Yes, we provide a Course Completion Certificate for all training courses.
    • Do you provide group discounts? Yes, we do. Pls Talk to us to Enquire.
    • After enrolling for the training Course from KnowledgeSpace, how can I get clarification for my course related questions? We have a team of expert trainers on hand to help with your questions. Contact us at hello@Kspacetc.com for any questions.
    • What happens after paying for a course? You will receive your course access credentials via email within 24 hrs of purchase, typically earlier than this.
    • Can I get an extension of my access after expiry? Yes, this is possible. There will be a small cost attributed to this. Feel free to Contact Us for specific extension requests.
    • Can KnowledgeSpace Deliver inhouse / Corporate Training? Yes, our exceptional in-house delivery staff work incessantly to provide training to clients who wish to have the convenience and comfort of working within their familiar surroundings. Contact Us to inquire about Corporate Training.
    • I am unable to find the course that I’m looking for. Please Contact Us and we will be happy to help guide you based on your career aspirations.
    • Can you customize Training based on a company’s requirements? Yes, we have subject matter experts who will work according to your company requirements. We can customize our existing courses or develop a new course from scratch based on your input and pain points.
    • What delivery method I can choose for the Training courses? You can choose below delivery method according to your requirement:
      • Online: If you want to learn at your own pace and at any time in the day or night.
      • Online/Instructor-led or virtual: If you want to learn virtually from the instructor in the comfort of your home.
      • Classroom: If you want to attend training in the KnowledgeSpace venue.
      • Onsite/Corporate: If you are looking for a training solution for your employees or company.
    • What if I have more questions? Please Contact us with any questions you may have. You can also check out Amazon Website  for more info about this certification.

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