Learners and professionals will learn the procedures and models required to be executed in the cloud, utilizing the Amazon EC-2-based Deep Learning AMI and the MXNet framework. You will gain a better understanding of the deployment concepts in your deep-learning models. Such models can be well executed using AWS services like AWS Lambda and Amazon EC2 Container Service (Amazon ECS). Within the concepts, you can learn to design intelligent systems on AWS based on the principles of Deep Learning.
Upon completion of the course, you will be able to understand neural networks, convolutional neural networks (CNNs), recurrent neural networks (RNNs), and other essential deep learning architectures. You will get hands-on experience with the AWS services to facilitate the efficient deployment of deep learning models. Our expert-led training ensures that you have real-world experience on projects involving deploying and optimizing deep learning models on AWS.
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Throughout this hands-on learning experience facilitated by our experts, you will achieve the following course objectives:
• Gain practical learning experience in deep learning and its applications
• Explain neural networks and CNNs
• Explore fundamental concepts of the AWS platform and its services relevant to deep learning
• Hands-on experience with MXNet framework for developing and deploying models
• Understand how AWS services facilitate the efficient deployment of deep learning
• Explore key principles and algorithms used in deep learning
• Gain insights on troubleshooting common issues in deep learning
• Optimize model performances
• Successfully complete the certification post-course training
• Deploy and manage deep learning solutions on AWS
• Integrate deep learning principles into the design of intelligent systems on AWS
• Working on real-world projects involving the deployment and optimization of learning models
• Acquire knowledge of a final project demonstrating proficiency in deep learning on AWS
• Manage and validate skills in deploying deep learning solutions on AWS
The AWSDL course is ideal for developers responsible for developing DL applications in their organization. To drive innovative deep learning solutions, developers are recommended to understand the concepts behind them and how they can be implemented in a DL solution on AWS. Other job roles that might benefit from the course knowledge include IT individuals working on the cloud platform who want to learn about deploying deep learning workloads in AWS.
• Introduction to ML concepts
• Understanding the role of machine learning in data-driven decision-making
• Overview of the concepts
• 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
• Introduction to Amazon Deep Learning AMI
• Data preprocessing techniques for optimizing 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
• 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
• 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
• AWS service for deep learning deployment
• Understand key considerations for scalability and performance optimization
• Learn effective strategies for deploying learning workloads
• 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
What is the course duration?
AWSDL, Deep Learning on AWS, is a 01-day expert-led course by Vinsys that contributes to smoother DL project deployments at organizations.
What is the course code to access the learning material?
The course code through which it can be accessed is AWSDL.
Why should I enroll in this course by Vinsys?
Enrolling in this course offers a comprehensive learning experience of DL and its critical role in AWS deployment. You will learn to design and implement robust DL principles and application mechanisms to spin up Amazon Deep Learning AMI based on EC2 and preprocessing data. On top of that, you will get 24*7 support for pre-and post-course completion from Vinsys after you enroll in it.
Can a beginner enroll in this course?
This introductory course is suitable for those seeking to deepen their understanding of DL techniques and secure their applications from potential threats to the systems. This includes those working majorly in the field of programming language, including Developers, IT Security Professionals, ML Engineers, and more.
How will the course help me in my professional development?
Designed with experts, the course can unlock the potential of hands-on skills in cloud-based solutions and securing real-world applications and their integration with DL workflows. The course directly applies to enhancing professional AWS services tailored for DL tasks and detection capabilities. It covers future trends in DL deployment, ML Ethics, and DL Algorithms, ensuring that you are well-prepared for upcoming developments in the field.
How is the course program carried out at Vinsys?
Our courses are delivered through instructor-led training (ILT), private group training, and virtual instructor-led training (vLIT). We boost your odds of success by helping you prepare for required exams and earn the certification. Effective course material accessed throughout the program makes learning about concepts beyond the class easier. You can choose your learning path to upskill with Vinsys' subject matter experts upon customizing training needs to ensure 100% results.
How will this course help the learners?
The course will help learners understand DL in AWS Application Programming and learn to identify various types of deployment strategies using optimization models. The knowledge equips them to navigate the complex landscape of ML and DL-enabled frameworks effectively.
Can learners interact with the instructors?
Yes, learners will have an opportunity to interact with the instructors till the time their confusion and queries are resolved. You can enjoy 24*7 support from Vinsys even after the course completion.
What are the job opportunities after AWSDL?
There are various options to choose from, including DevOps Engineer, AWS Developer, ML Engineer, Data Engineer, Cloud Solutions Architect, and more.