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Course Code: DIGTR 106
459 Course Visits
Machine Learning with AWS
Course Sector:
Digital Transformation and Innovation
Course Dates and Locations
Choose a date and location to book your seat
No.
Date
Days
Location
Fees
Enrollment
01
5 Days
Dubai, UAE $4,250
02
5 Days
Dubai, UAE $4,250
Introduction
Training course introducion / brief
Machine learning (ML) is one of the fastest growing areas in technology and a highly sought-after skillset in today’s job market. It is the biggest shift of the decade in Machine Learning. This training course is designed to provide participants with the concepts of emerging world of patterns, techniques, and practices, in understanding proven solutions to common problems.
This course will discuss various artificial intelligence and machine learning services available on AWS, learn how to use these services to generate impressive results, and of how to use a wide range of AWS services in your own projects.
Course Objectives
At the end of the training course, participants will be able to
- Gain a comprehensive understanding of AWS and its role in Machine Learning
- Build intelligent applications using Amazon AI services like Amazon Comprehend, Amazon Rekognition, Amazon Translate and others.
- Know how to use AWS console and identify the services available for Machine Learning.
- Explore the basics of chatbots and chatbot design.
- Effectively create a Chatbot with Natural Language
Course Audience
Who is this course for, and can benefit the most
- Business and technology leaders
- Business Unit Managers
- Business Development Consultants
- General Managers / Regional Managers
- Senior and mid-level leaders
- individual leaders of all levels in the organization
- Art Director
- Marketing Consultants
- Marketing Development Manager
Course Outline
The course aims and learning outcomes
Introduction to Machine Learning
- What is Artificial Intelligence?
- What is Machine Learning?
- What is Deep Learning?
- Understanding Neural Networks
- Machine Learning Algorithms Explained
Amazon AI Services: Computer Vision
- Introduction to Amazon Rekognition
- Introduction to AWS DeepLens
- Hands-on Rekognition: Automated Video Editing
- Deep Dive on Amazon Rekognition
- The basics of working on AWS using S3.
- Importing and exporting data.
- Using the AWS console and identifying the services available for Machine Learning.
- Create a S3 bucket and import text data into it.
Amazon AI Services: NLP
- Introduction to Amazon Comprehend
- Introduction to Amazon Comprehend Medical
- Introduction to Amazon Translate
- Introduction to Amazon Transcribe
- Deep Dive with Amazon Transcribe
- Use Amazon Comprehend to detect the language which a document is written in.
- Extract information such as entities (persons or places), key phrases (noun phrases indicative of the content), and emotional sentiment from a set of documents.
- Sample project: Set up a Lambda function to process and analyze the imported text using Comprehend.
Perform Topic Modeling and Theme Extraction
- Understand what business use cases to apply the machine learning algorithm (Latent Dirichlet Allocation (LDA)) that is used for topic modeling.
- Extract and analyze common themes through topic modeling with Amazon Comprehend.
- Sample project: Perform topic modeling on a set of documents and analyze the results.
Creating Chatbot with Natural Language
- Explore the basics of chatbots and chatbot design.
- Set up with the Amazon Lex service and create a sample chatbot to order flowers.
- Create a custom chatbot which will look up market prices for a given stock.
Providers and Associations
Providing the best training services and benefits to our valued clients
Boost certificate of completion
BOOST's Professional Attendance Certificate “BPAC” is always given to the delegates after completing the training course, and depends on their attendance of the program at a rate of no less than 80%, besides their active participation and engagement during the program sessions.
ENDORSED EDUCATION PROVIDER
Flexible deadlines
Customized dates accordance to your schedule
Shareable Certificate
Earn certificate upon completion
COURSE METHODOLOGY
Our Training programs are implemented by combining the participants' academic knowledge and practical practice (30% theoretical / 70% practical activities).
At The end of the training program, Participants are involved in practical workshop to show their skills in applying what they were trained for. A detailed report is submitted to each participant and the training department in the organization on the results of the participant's performance and the return on training. Our programs focus on exercises, case studies, and individual and group presentations.
Since 2001, we have been pioneering the training field in the middle east, we managed to unlock potential and help individuals, teams and organisations to be the best that they can be with our full and integrated solutions.
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