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AWS Machine Learning Certification Training Course is offered by Besant Technologies. The syllabus of the AWS Machine Learning Certification Training Course has topics that include AWS storage fundamentals, AWS Simple Storage Service, Amazon IAM, and Amazon VPC and Networking. AWS Machine Learning Certification Training is provided by qualified professionals who have experience in the field of Machine Learning.

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Upcoming Batch Schedule for AWS Machine Learning Training

Besant Technologies provides flexible timings to all our students. Here is the AWS Machine Learning Training Classes Schedule in our branches. If this schedule doesn’t match please let us know. We will try to arrange appropriate timings based on your flexible timings.

  • 25-10-2021 Mon (Mon - Fri)Weekdays Batch 08:00 AM (IST)(Class 1Hr - 1:30Hrs) / Per SessionGet Fees
  • 28-10-2021 Thu (Mon - Fri)Weekdays Batch 08:00 AM (IST)(Class 1Hr - 1:30Hrs) / Per SessionGet Fees
  • 23-10-2021Sat (Sat - Sun)Weekend Batch11:00 AM (IST) (Class 3Hrs) / Per SessionGet Fees
AWS Machine Learning Training

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AWS Machine Learning Training

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AWS Machine Learning Online Training

AWS Training Syllabus

Module 1: Linux Fundamentals (Duration-2hrs)

  • Overview of all basic commands
  • Vim editor modes
  • Filesystem hierarchy – Basic topics
  • File and directories creation
  • Grep
  • Filter commands (head,tail,more,less)
  • Creating users and groups
  • Important files related
  • Modifying,deleting users and group
  • Linux permissions
  • Basic permissions overview
  • Software management
  • Yellowdog update modifier(yum)
  • Yum commands
  • Different runlevels
  • Services and daemons

AWS Solution Architect Certification Training

Module 2: Why Cloud ? (Duration-1hr)

  • Why Cloud and What is Cloud Computing?
  • Identify the features and benefits of cloud computing
  • Different types of Cloud Computing deployment model
  • Public Cloud, Private Cloud, Hybrid Cloud
  • Virtualization – An essential in cloud
  • Virtualization in Cloud model
  • Different types of virtualization
  • Hypervisor – Benefits
  • Different types of services and its difference in Cloud computing
  • IaaS, PaaS, SaaS
  • Importance of scaling in cloud computing
  • Different types of scaling and its applications
  • Issues we overcome using cloud and applications
  • Cost model that we use in cloud computing

Module 3: AWS – An overview (Duration-1hr)

  • Describe the features of AWS
  • The features of AWS marketplace
  • Describe the features of Amazon Compute Services
  • Describe the features of Amazon Storage Services
  • Describe the features of Amazon Network Services
  • Describe the features of Amazon Database services
  • Describe about various services in AWS
  • Global Infrastruture – Regions and Availability Zones
  • Create a free tier account in AWS and onboarding
  • Introduction AWS management console

Module 4: Understand Identity Access Management of AWS (Duration-2hrs)

  • Protect your AWS by different authentication system
  • Password policies set for users
  • AWS User Account and Groups in detail
  • Creating custom policies in AWS
  • Introduction about Roles and its use
  • Creating Roles and associating policies
  • Creating programmatic access and management console access for users
  • Associating policies to the user and groups

Module 5: EC2 Instance (Duration-4hrs)

  • Describe AMI and AWS Marketplace templates
  • Launch a basic EC2 instance
  • Different types of Instances Reserved, On-demand, Spot, Dedicated
  • Security groups and tags for EC2 instance
  • Public key – Private key introduction and protecting EC2 with keys
  • Attaching and detaching EBS volumes
  • Launch an ec2 instance from an AMI
  • Create custom AMI and working with different region
  • Make use of amazon EBS volume and create snapshots
  • Manage the configuration of your application
  • Deploying a new instance from the created AMI

Module 6: Auto-scaling  (Duration-2hrs)

  • Get Started with Auto Scaling Using the Console
  • Creating Launch configurations and make use of it for autoscaling groups
  • Maintain a Fixed Number of Running EC2 Instances
  • Dynamic Scaling
  • The lifecycle of autoscaling
  • Policies of autoscaling

Module 7: Load Balancing (Duration-2hrs)

  • Introduction to Loadbalancer (ELB)
  • Different types of Loadbalancer in AWS
  • Application Load balancer
  • Network Load balancer
  • Classic Load balancer
  • Migrating classic load balancer to new load balancer
  • Components and types of load balancing

Module 8: EBS (Elastic Block Storage) (Duration-2hrs)

  • Create EBS volumes
  • Delete EBS Volumes
  • Attach and detach EBS volumes with EC2 instance
  • Creating and deleting snapshots

Module 9: Object Storage in Cloud (Duration-3hr)

  • Understanding S3 durability and redundancy
  • Introduction about S3 Buckets
  • How S3 Uploading works and how to Download
  • How to S3 Permissions
  • How to implement S3 Object Versioning S3 Lifecycle Policies
  • Storage Gateway
  • Import Export
  • S3 Transfer Acceleration
  • Glacier storage

Module 10: Cloud Front (Duration-1hr)

  • Describing cloud front
  • Creating a cloud front distribution
  • Hosting a website of cloud front distribution
  • Implementing global restrictions
  • Configuring origins and behaviors

Module 11: Route53 (Duration-2hrs)

  • Describe Hosted zones and Domain name understanding
  • How to create hosted zones
  • Hosting a website with custom domain name
  • Understanding routing policies

Module 12: AWS Security Management (Duration-1hr)

  • Describing Security Practices for Cloud Deployment
  • AWS Shared Responsibilities and Securities
  • Importance of Cloud Trail
  • Describing Trust advisor

Module 13: Amazon Virtual Private Cloud (VPC) (Duration-5hrs)

  •  Introduction to Amazon Virtual Private Cloud (VPC).
  • VPC Advantages and understanding IP addressing CIDR
  • Default and Non-default VPC
  • Different Components in VPC
  • Describe, create, and manage Amazon Virtual Private Cloud
  • Amazon VPC, Private Subnet, and Public Subnet
  • AWS Networking, Security Groups, and Network ACLs
  • Configuration and management of VPN connectivity
  • Subnet and Subnet Mask

Module 14: Relational Database Service (RDS)  (Duration-1hr)

  • Introduction to RDS
  • Different database services of AWS: Amazon RDS, Dynamo DB, Redshift etc.
  • Create MYSQL RDS Instance, Oracle RDS Instance, MS SQL RDS Instance
  • Configuring the database
  • Configuring backups
  • Configuring the maintenance windows
  • Connecting to the database

Module 15: NDynamo DB (Duration-1hr)

  • Creating a dynamo dB
  • Adding data manually
  •  Learn about strong and eventual consistency
  • Calculating Read write consistency
  • Configuring alarms

Module 16: Monitoring Services (Duration-1hr)

  • Knowledge on Cloud watch – A monitoring service
  • Create and Configuring Monitoring services
  • How to perform Setting thresholds and Configuring actions
  • Creating a cloud watch alarm
  • Getting statistics for ec2 instances
  •  Monitoring other AWS services
  • Configuring Notifications
  • Integrating cloud watch with Autoscaling

MOdule 17: Application Services – An Overview  (Duration-1hr)

  • What is SNS
  • Creating a topic
  • Create subscription
  • Subscribed to the subscription
  • SQS & SES
  • Lambda and Elastic Beanstalk

Module 18: AWS Troubleshooting  (Duration-1hr)

  • Troubleshooting EC2 instance
  • Troubleshooting using Cloud watch
  • Troubleshooting using ELB
  • Troubleshooting by using Cloud front

Module 19: AWS Architecture and Design  (Duration-1hr)

  • Backup and Disaster Recovery
  • How to manage Disaster Recovery and Backups
  • Best Practice for DR and Backups
  • AWS High Availability Design

Module 20: DevOps Fundamentals  (Duration-1hr)

  • An understanding of DevOps and the modern DevOps toolsets
  • The ability to automate all aspects of a modern code delivery and deployment pipeline using:
  • Source code management tools – CVS, Git
  • Build tools – Apache ant, Maven
  • Test automation tools – JUnit
  • Continuous Integration Tools – Jenkins, Team city
  • Configuration management tools – Chef, Puppet, Ansible

Machine Learning Training Syllabus

Module 1- Introduction to Data Analytics (Duration : 04:00:00 hrs)

Objectives:
  • This module introduces you to some of the important keywords in R like Business Intelligence, Business Analytics, Data, and Information.
  • You can also learn how R can play an important role in solving complex analytical problems.
  • This module tells you what is R and how it is used by giants like Google, Facebook, etc.
  • Also, you will learn the use of ‘R’ in the industry, this module also helps you compare R with other software in analytics, install R and its packages.
Topics
  • Business Analytics, Data, Information
  • Understanding Business Analytics and R
  • Compare R with other software in analytics
  • Install R
  • Perform basic operations in R using the command line
  • Learn the use of IDE R Studio
  • Use the ‘R help’ feature in R

Module 2- Introduction to R programming (Duration: 03:00:00 hrs)

Objectives:
  • This module starts with the basics of R programming like data types and functions.
  • In this module, we present a scenario and let you think about the options to resolve it, such as which datatype should one to store the variable or which R function that can help you in this scenario.
  • You will also learn how to apply the ‘join’ function in SQL.
Topics
  • Variables in R
  • Scalars
  • Vectors
  • Matrices
  • List
  • Data frames
  • Using c, Cbind, Rbind, attach and detach functions in R
  • Factors

Module 3- Data Manipulation in R (Duration : 04:00:00 hrs)

Objectives:
  • In this module, we start with a sample of a dirty data set and perform Data Cleaning on it, resulting in a data set, which is ready for any analysis.
  • Thus using and exploring the popular functions required to clean data in R.
Topics
  • Data sorting
  • Find and remove duplicates record
  • Cleaning data
  • Recoding data
  • Merging data
  • Slicing of Data
  • Merging Data
  • Apply functions

Module 4- Data Import techniques in R (Duration: 04:00:00 hrs)

Objectives:
  • This module tells you about the versatility and robustness of R which can take-up data in a variety of formats, be it from a CSV file to the data scraped from a website.
  • This module teaches you various data importing techniques in R.
Topics
  • Reading Data
  • Writing Data
  • Basic SQL queries in R
  • Web Scraping

Module 5- Exploratory data Analysis (Duration: 05:00:00 hrs)

Objectives:
  • In this module, you will learn that exploratory data analysis is an important step in the analysis.
  • EDA is for seeing what the data can tell us beyond the formal modeling or hypothesis. You will also learn about the various tasks involved in a typical EDA process.
Topics
  • Box plot
  • Histogram
  • Pareto charts
  • Pie graph
  • Line chart
  • Scatterplot
  • Developing Graphs

Module 6- Basics of Statistics & Linear & Logistic Regression (Duration : 05:00:00 hrs)

Objectives:

  • This module touches the base of Descriptive and Inferential Statistics and Probabilities & ‘Regression Techniques’.
  • Linear and logistic regression is explained from the basics with the examples and it is implemented in R using two case studies dedicated to each type of Regression discussed.
Topics
  • Basics of Statistics
  • Inferential statistics
  • Probability
  • Hypothesis
  • Standard deviation
  • Outliers
  • Correlation
  • Linear & Logistic Regression

Module 7- Data Mining: Clustering techniques, Regression & Classification (Duration : 04:00:00 hrs)

Objectives:
  • Linear and logistic regression is explained from the basics with the examples and it is implemented in R using two case studies dedicated to each type of Regression discussed.
  • The two Machine Learning types are Supervised Learning and Unsupervised Learning and the difference between the two types.
  • We will also discuss the process involved in ‘K-means Clustering’, the various statistical measures you need to know to implement it in this module.
Topics
  • Introduction to Data Mining
  • Understanding Machine Learning
  • Supervised and Unsupervised Machine Learning Algorithms
  • K- means clustering

Module 8- Anova & Sentiment Analysis (Duration : 02:00:00 hrs)

Objectives:
  • This module tells you about the Analysis of Variance (ANOVA) Technique.
  • The algorithm and various aspects of Anova have been discussed in this module
  • Additionally, this module also deals with Sentiment Analysis and how we can fetch, extract and my live data from Twitter to find out the sentiment of the tweets.
Topics
  • Anova
  • Sentiment Analysis

Module 9- Data Mining: Decision Trees and Random Forest (Duration : 03:00:00 hrs)

Objectives:
  • This module covers the concepts of Decision Trees and Random Forest.
  • The algorithm of Random Forests is discussed in a step-wise approach and explained with real-life examples.
Topics
  • Decision Tree
  • Concepts of Random Forest
  • Working of Random Forest
  • Features of Random Forest

Module 10- Project work (Duration: 10:00:00 hrs)

  • 2 Real-time projects
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AWS Machine Learning Training

About AWS Machine Learning Certification Training Course

AWS Machine Learning Certification Training Course makes you understand the introduction to machine learning, machine learning pipeline, data engineering, exploratory data analysis, and modeling. AWS Machine Learning training course helps you in understanding MI implementation and operations. AWS Machine Learning Certification Training Course is a placement oriented training after which you can work in big corporate houses.

After the completion of the AWS Machine Learning training course, you will get certification like AWS Machine Learning Certificate. The average salary in AWS Machine Learning is $ 137,797.

What will you learn in this AWS Machine Learning Certification Training Course?

The skills which you can sharpen through AWS Machine Learning Training Course are:

  • Data Analysis and Visualization
  • Data Preparation
  • Streaming Data Collection
  • Data Collection

Objective of AWS Machine Learning Certification Training Course

Each and every course has some or other objects behind it. The objective of the AWS machine learning certification course are:

  • Understanding Predictive Quality assessment, AWS Machine Learning algorithms, and Model Optimization
  • Integrating predictive models through simple and secure APIs
  • Converting your ideas into products
  • Practice test and resources for AWS Certified Machine Learning

Who should attend AWS Machine Learning Certification Training Course?

AWS Machine Learning Certification Training is for those professionals who want to work in the field of Machine Learning and for those who have a keen interest in a machine learning course.

What are the prerequisites for learning AWS Machine Learning Certification Training Course?

The prerequisites required for doing AWS Machine Learning Certification Training Course are:

  • Ability to express intuition behind basic ML algorithms
  • Experience performing hyperparameter optimization
  • Experience with Machine Learning and Deep Learning frameworks

What are the AWS Machine Learning job opportunities?

There are many job opportunities available in the AWS Machine Learning field. Some of the job positions in AWS Machine Learning are:

  • Program Manager in Analytics
  • Software Development Engineer
  • Business Intelligence Engineer I
  • Applied Scientist II
  • Senior Data Scientist

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Trainer Profile of AWS Machine Learning Online Training

Our Trainers provide complete freedom to the students, to explore the subject and learn based on real-time examples. Our trainers help the candidates in completing their projects and even prepare them for interview questions and answers. Candidates are free to ask any questions at any time.

  • More than 7+ Years of Experience.
  • Trained more than 2000+ students in a year.
  • Strong Theoretical & Practical Knowledge.
  • Certified Professionals with High Grade.
  • Well connected with Hiring HRs in multinational companies.
  • Expert level Subject Knowledge and fully up-to-date on real-world industry applications.
  • Trainers have Experienced on multiple real-time projects in their Industries.
  • Our Trainers are working in multinational companies such as CTS, TCS, HCL Technologies, ZOHO, Birlasoft, IBM, Microsoft, HP, Scope, Philips Technologies etc

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AWS Machine Learning Exams & Certification

Besant Technologies Certification is Accredited by all major Global Companies around the world. We provide after completion of the theoretical and practical sessions to fresher’s as well as corporate trainees.

Our certification at Besant Technologies is accredited worldwide. It increases the value of your resume and you can attain leading job posts with the help of this certification in leading MNC’s of the world. The certification is only provided after successful completion of our training and practical based projects.

AWS Machine Learning Training

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Key Features of AWS Machine Learning Online Training

Skill Level

Beginner

Duration

30 Hours

KeyFeatures

Total Learners

2045 Learners

Assignments

15 Hours

Group Discount

If you have Three or more people in your training we will be delighted to offer you a group discount.

AWS Machine Learning Training

Training Courses Reviews

I would like to highlight a few points about my association with Besant Technologies. The faculty members out here are super supportive. They make you understand a concept till they are convinced you have gotten a good grip over it. The second upside is definitely the amount of friendliness in their approach. I and my fellow mates always felt welcome whenever we had doubts. Thirdly, Besant offers extra support to students with a weaker understanding of the field of IT.

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Siva Kumar

When I joined Besant Technologies, I didn’t really expect a lot from it, to be extremely honest. But as time went by, I realised I got from Besant Technologies exactly what I wanted- a healthy environment for learning. Cordial teachers and their valuable lectures make understanding things so much easy. I thank Besant for having been so supportive throughout the course.

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Besant Technologies offers 250+ IT training courses in more than 20+ branches all over India with 10+ years of Experienced Expert level Trainers.

  • Fully hands-on training
  • 30+ hours course duration
  • Industry expert faculties
  • Completed 1500+ batches
  • 100% job oriented training
  • Certification guidance
  • Own course materials
  • Resume editing
  • Interview preparation
  • Affordable fees structure

Besant Technologies is the Legend in offering placement to the students. Please visit our Placed Students List on our website.

  • More than 2000+ students placed in last year.
  • We have a dedicated placement portal which caters to the needs of the students during placements.
  • Besant Technologies conducts development sessions including mock interviews, presentation skills to prepare students to face a challenging interview situation with ease.
  • 92% percent placement record
  • 1000+ interviews organized

  • Our trainers are more than 10+ years of experience in course relavent technologies.
  • Trainers are expert level and fully up-to-date in the subjects they teach because they continue to spend time working on real-world industry applications.
  • Trainers have experienced on multiple real-time projects in their industries.
  • Are working professionals working in multinational companies such as CTS, TCS, HCL Technologies, ZOHO, Birlasoft, IBM, Microsoft, HP, Scope, Philips Technologies, etc…
  • Trained more than 2000+ students in a year.
  • Strong theoretical & practical knowledge.
  • Are certified professionals with high grade.
  • Are well connected with hiring HRs in multinational companies.

No worries. Besant technologies assure that no one misses single lectures topics. We will reschedule the classes as per your convenience within the stipulated course duration with all such possibilities. If required you can even attend that topic with any other batches.

Besant Technologies provides many suitable modes of training to the students like

  • Classroom training
  • One to One training
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You will receive Besant Technologies globally recognized course completion certification.

Yes, Besant Technologies provides group discounts for its training programs. To get more details, visit our website and contact our support team via Call, Email, Live Chat option or drop a Quick Enquiry. Depending on the group size, we offer discounts as per the terms and conditions.

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