Deep Learning on AWS Course Overview

Deep Learning on AWS Course Overview

Deep Learning on AWS certification is a recognition provided by Amazon Web Services that demonstrates the holder's ability to implement and operate deep learning applications using AWS technologies. It is primarily about mastering cloud-based deep learning models and understanding how to utilize the platform's machine learning services. Industries use this certification to validate the expertise of professionals in creating machine learning models, interpreting the results, and implementing solutions to business-specific problems. Gaining this certification signifies being equipped with knowledge and skills to leverage AWS services for scalable, efficient deep learning applications, which is highly beneficial in sectors such as finance, healthcare, and technology.

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  • Live Online Training (Duration : 8 Hours)
  • Per Participant
  • Including Official Coursebook

♱ Excluding VAT/GST

Classroom Training price is on request

You can request classroom training in any city on any date by Requesting More Information

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Course Prerequisites


The prerequisites for Deep Learning on AWS are as follows:
1. Familiarity with Python Programming Language
2. Knowledge on Machine Learning Concepts
3. Knowledge of AWS Services such as EC2, S3, Lambda and Elastic Map Reduce
4. Basic Understanding of Statistics and Probability
5. Ability to write basic applications on AWS
6. Interest in Neural Networks and Deep Learning and/or Image/Computer Vision

Target Audience for Deep Learning on AWS Certification Training

- AI enthusiasts and professionals
- Software engineers and developers
- Data scientists and analysts
- IT professionals interested in machine learning applications
- Businesses looking to implement AI solutions
- Students pursuing computer science or related fields
- Professionals seeking career advancement in AI technology.

Why Choose Koenig for Deep Learning on AWS Certification Training?

- Enhances career prospects with improved skills in AWS and Deep Learning
- Training programs tailored to suit individual learning pace and requirements
- Access to Certified Instructors with extensive industry experience
- Flexibility in choosing training dates according to individual availability
- Option to attend Instructor-led online training, ensuring a comprehensive learning experience
- Affordable pricing making high-quality training accessible for all
- Access to a wide range of courses under one platform
- Option for destination training for an immersive learning experience
- Recognized as a top training institute for Deep Learning on AWS
- All training programs are fully accredited guaranteeing quality and recognition.

Deep Learning on AWS Skills Measured

After completing the Deep Learning on AWS certification training, an individual can acquire skills like developing, training, and deploying deep learning models using AWS, understanding deep learning frameworks like TensorFlow and MXNet, managing Machine Learning workflows, and mastering the AWS infrastructure and services. They will also learn about GPU computing for big data, predicting customer behaviors, applying deep learning to different business sectors, and handling real-world scenarios through hands-on projects.

Top Companies Hiring Deep Learning on AWS Certified Professionals

Top technology companies such as Amazon, IBM, Intel, Nvidia, and Microsoft are continuously on the hunt for Deep Learning on AWS certified professionals. These organizations require their expertise to optimize cloud-based solutions, improve machine learning models, and innovate in AI technologies. Professionals with such a certification are in great demand for roles as data scientists, AI engineers, or cloud solutions architects.

Learning Objectives - What you will Learn in this Deep Learning on AWS Course?

The learning objectives of a Deep Learning on AWS course would be to understand the fundamentals of deep learning and familiarize with AWS cloud platform. Students will learn how to build, train, and deploy deep learning models using AWS. They will comprehend the differences between machine learning and deep learning and grasp the concept of neural networks. The course aims to empower students with knowledge of deep learning frameworks like TensorFlow, PyTorch, and MXNet. It will also equip them to use AWS services like SageMaker, Elastic Inference, and Deep Learning AMIs. By the end of the course, students should be proficient in applying deep learning methodologies to solve real-world problems.