Duration : 1 Day
5343 participants
Looking for Corporate TrainingHands-on training on deep learning in the AWS environment.
Deep Learning On AWS Certification Training Course (AWSDL)
Learn to build, train, and deploy deep learning models by earning the Deep Learning on AWS Certification! Vinsys invites you for hands-on training in Deep Learning on AWS Certification Training to use AWS tools, services, and infrastructure to utilise deep learning for data analysis and predictio
Deep Learning On AWS Certification Training Course (AWSDL)
Deploy various deep learning models using AWS
Find a progressive career in the AI field
Learn from the industry’s experts.
Course Overview
Deep learning is an integral part of artificial intelligence (AI). Deep learning integration with AWS will allow you to easily maintain the heavy computation used by deep learning. Pre-built tools like AWS Lambda, Amazon EC2, and Container Services (ECS) will simplify the task of data analysis, recognition of patterns, and real-time predictions. Our short-term AWSDL course will help you determine the advantages of AWS for deep learning.
Our course is not just about theory, it's about practical application. With a primary focus on machine learning and deep learning concepts, you will gain a clear understanding of the difference between traditional machine learning and deep learning. Our experts will guide you through real-world applications and use cases of the technology. The hands-on lab training involves spinning up Amazon Deep Learning AMI based on EC2, running a convolutional neural network model, and deploying deep learning models for predicting images using AWS Lambda.
Although the course is short, you will proficiently use AWS for deep learning. Throughout the training period, our certified experts will be there to support you, ensuring that no question goes unanswered. We are committed to preparing you for the AWS Certified Machine Learning Speciality certification, providing the reassurance you need to succeed.
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Course Objectives
After completing the AWSDL course, you will:
- Understand the primary difference between machine learning and deep learning.
- Learn the advantages of deep learning, such as scalability, data-driven decision-making, and high recognition accuracy.
- Analyse and hands-on experience with the MXNet deep learning framework on AWS.
- Evaluate and acquire skills in Amazon Deep Learning AMI and data processing techniques.
- Examine the best solutions for the management and deployment of DL workloads.
- Learn about CNNs (a deep learning algorithm) to process and recognise patterns in images.
- Understand the advantages of AWS Lambda and become a master in deep learning model deployment using AWS Lambda.
- Analyse the practical applications of deep learning and how to integrate them on AWS.
Audience
This is one of the best courses for:
- Developers engaged in developing DL applications
- Developers who want to learn concepts of deep learning and curious to implement DL solutions on AWS
Eligibility Criteria
Since it is a short-term practical program, we welcome the attendees who will meet the following prerequisites:
- Understand the fundamentals of ML processes
- Understand the AWS core services like EC2 and knowledge of AWS SDK
- Basic skills in a scripting language, such as Python
As there are no mandatory requirements, we suggest you reach out to us for more clarification!
Course Outline
Module 1. Introduction to Machine Learning
- Introduction to ML concepts
- Understanding the role of machine learning in data-driven decision-making
- Overview of the concepts
Module 2. Introduction to Deep Learning
- Introduction to Deep Learning concepts
- A foundational understanding of deep learning and its significance
- Explore the differences between traditional machine learning and deep learning
- Applications and use cases of deep learning
- Differentiate between ML and DL
- Overview of the concepts
Module 3. Spinning up Amazon Deep Learning AMI based on EC2 and preprocessing data
- Introduction to Amazon Deep Learning AMI
- Data preprocessing techniques for optimising model performance
- Master the art of preprocessing data
- Acquire skills in setting up Amazon Deep Learning AMI on EC2
- Setting up and configuring Amazon EC2 for deep learning tasks
Module 4. Introduction to MXNet on AWS
- Introduction to MXNet deep learning framework
- Hands-on exercises with MXnet on AWS
- Gain practical learning experience in working with MXNet on the AWS platform
Module 5. Running a Convolutional Neural Network model and predicting images
- Strategies for deploying deep learning workloads on AWS
- Understand scalability and performance considerations
- Develop proficiency in working with CNNs
- Best practices for deploying and managing DL workloads
Module 6. Deploying deep learning workloads on AWS
- AWS service for deep learning deployment
- Understand key considerations for scalability and performance optimisation
- Learn effective strategies for deploying learning workloads
Module 7. Deploying deep learning model for predicting images using AWS Lambda
- Master the deployment of deep learning models using AWS Lambda
- Configure and deploy deep learning models with AWS Lambda
- Understand the practical applications
- Introduction to serverless computing with AWS Lambda
Choose Your Preferred Mode
Online Training
- Virtual instructor-led training support to beginners and professionals.
- Courses on soft skills, IT, management, and a range of fields.
- Quick support from experts to clear your doubts.
- Freedom to select a convenient training mode- private, self-paced, group, and blended.
Corporate Training
- Foster unity in your team by providing group training.
- Hands-on learning to develop skills in the area outperforming the workforce.
- Learning passes allow you to access course materials throughout the year and get discounts.
- Regular performance reports to maintain transparency.
FAQ’s
What is the course duration?
Deep Learning on AWS Certification Training is a short-term program. Our experts will cover the important details of the course in one day.
Can a fresher join this program?
There are no restrictions related to work experience. If you have spent some time developing DL applications, understand the ML process and have knowledge of AWS core services, this is one of the best courses for you.
Will I get a certificate after completing the AWSDL course?
During the training, our expert will guide you through the application process for the certification. If you meet the criteria for the AWS Certified Machine Learning exam, you will be eligible for the AWS Certified Machine Learning—Speciality Certification.
What are the job opportunities after AWSDL?
After this course, you can work in various roles such as DevOps Engineer, AWS Developer, Data Engineer, Cloud Solutions Architect, or ML Engineer.
What are the training modes I can use to join this program?
The course offers a variety of training modes, including instructor-led, private group, and virtual instructor-led (vILT) training. This flexibility allows you to choose the mode that best fits your schedule and learning style. Contact us to learn more.
Why should I contact Vinsys for the AWSDL program?
- Our training solutions include:
- Focused and updated modules
- Project-based training
- Practical experience
- Certified trainers
Which platform is the best for deep learning?
One of the most trusted platforms for making deep learning scalable is AWS. Its pre-built tools make deep learning easy to use. At the same time, it is a cost-effective powerful cloud servers allow you to handle heavy computation needed for deep learning.
Is ChatGPT deep learning?
Yes, ChatGPT is deep learning.
What are the popular deep learning models?
RNNs, TensorFlow, Support Vector Machines (SVMs), PyTorch, and Logistic Regression are the most popular deep learning models.
Why should I choose Vinsys for deep learning?
Vinsys is a respected name in online education in India, the Gulf countries, and the USA. Our updated modules will guide you towards the AWS certification, providing support at every step through in-depth expert guidance.
Why Vinsys
Seasoned Instructors
Official Vendor Partnerships
Authorized Courseware
3,000+ Courses & 2,000+ Modules
In Synch with Tech-advancements
Customizable Blended Learning Options
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Reviews
This program has refined my skills in SageMaker, EC2 Instances for Machine Learning, and AWS Deep Learning AMIs. It is truly worth to undergo.
Akhilesh AgrawalSoftware Engineer
Using AWS for Deep Learning has saved me time, energy, and money. Vinsys’ lab-based training was a rewarding experience that I highly recommend.
Joshua BailurBlockchain Developer
The AWSDL training session was action-packed. We delved into the integration, configuration, and optimisation of Deep Learning on AWS while maintaining our concentration and interest.
Brijesh Singh BaghelSenior Project Manager
The training session was motivating and highly valuable. We gained a deep insight into AWS platforms for DL, and our doubts about CNNs and MXNet have significantly subsided.
Rahul KumarChief Technical Officer
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