Machine Learning (ML) has long been an arcane topic, accessible only to experts. In this webinar, you will learn how to easily add Amazon API-driven ML services to your education software. Image and video analysis, text-to-speech, speech-to-text, translation, natural language processing: all these are just an API call away. Through code-level demos, we'll show you how to quickly start integrating these services into your education offerings, with zero ML expertise required. Speaker: Julien Simon, Principal Evangelist AI/ML EMEA, Amazon Web Services Learn more: https://aws.amazon.com/education View the video recording here: https://youtu.be/Dsj5KgER6ec

1. Building Your Smart Applications
with Machine Learning on AWS
Julien Simon, Principal Evangelist, AI & Machine Learning
@julsimon

2. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
ML on AWS for Education Webinar Series
• Using Voice Technology to Improve Learning: Amazon Polly for
Education, April 24th at 2pm EDT
• Machine Learning Models for Smarter Education Apps with
Amazon SageMaker, May 10th at 2pm EDT
REGISTER
http://aws.amazon.com/education/machine-learning-on-aws-edu-webinars

3. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Are you ready to get started today?
If you know how you want to integrate ML on AWS into your
product roadmap or technology infrastructure, we want to
help! Email us today.
• EMAIL: EdTechTeam@amazon.com
• SUBJECT: ML on AWS for EDU Pilot Idea
• CONTENT: Describe your proposed use of ML on AWS
services in your EdTech or institution, and we’ll connect
you with the right team to kick start your project!

4. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Put Machine Learning in the hands
of every developer and data scientist
Our mission

5. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Application
Services
Platform
Services
Frameworks
&
Infrastructure
API-driven services: Vision & Language Services, Conversational Chatbots
Deploy machine learning models with high-performance machine learning
algorithms, broad framework support, and one-click training, tuning, and
inference.
Develop sophisticated models with any framework, create managed, auto-
scaling clusters of GPUs for large scale training, or run inference on trained
models.

6. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Application
Services
API-driven services: Vision & Language Services, Conversational Chatbots

7. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Amazon
Rekognition
Object and scene detection
Facial analysis
Face comparison
Celebrity recognition
Image moderation
Text in image
Amazon Rekognition: image content
FREE
TIER

8. Amazon Rekognition Video: video content
FREE
TIER

9. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Amazon Polly
“Hejsan! Jag
heter Astrid och
läser upp det som
skrivs här.”
Amazon Polly: text to speech
FREE
TIER

10. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Amazon Translate
Real-time
translation
Powered by deep
learning
12 Language pairs
(6 more languages
to come)
Language detection
FREE
TIER

11. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Available in
preview
today
Support for
telephony audio
Timestamp
generation
Intelligent
punctuation and
formatting
Recognize
multiple
speakers
Custom
vocabulary
Multiple
languages
Amazon Transcribe: speech to text
FREE
TIER

12. Amazon Comprehend: NLP
Discover valuable insights from text
Entities
Key Phrases
Language
Sentiment
Amazon
Comprehend
FREE
TIER

13. Amazon Comprehend: topic modeling
STORM
WORLD SERIES
STOCK MARKET
WASHINGTON
LIBRARY OF
NEWS ARTICLES *
Amazon
Comprehend
FREE
TIER

14. Amazon Lex
Conversational Interfaces
FREE
TIER

15. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Intents
A particular goal that the
user wants to achieve
Utterances
Spoken or typed phrases
that invoke your intent
Slots
Data the user must provide to fulfill the
intent
Prompts
Questions that ask the user to input
data
Fulfillment
The business logic required to fulfill the
user’s intent
BookHotel

16. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
DEMO: Application Services

17. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Platform
Services
Deploy machine learning models with high-performance machine learning
algorithms, broad framework support, and one-click training, tuning, and
inference.

18. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
End-to-End
Machine Learning
Platform
Zero setup Flexible Model
Training
Pay by the second
$
Amazon SageMaker
Build, train, and deploy machine learning models at scale
FREE
TIER

19. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Highly-optimized
machine learning
algorithms
BuildPre-built
notebook
instances
Amazon SageMaker

20. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Highly-optimized
machine learning
algorithms
One-click training
for ML, DL, and
custom algorithms
BuildPre-built
notebook
instances
Easier training with
hyperparameter
optimization
Train
Amazon SageMaker

21. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Highly-optimized
machine learning
algorithms
Deployment
without
engineering effort
Fully-managed
hosting at scale
BuildPre-built
notebook
instances
Deploy
Train
Amazon SageMaker
One-click training
for ML, DL, and
custom algorithms
Easier training with
hyperparameter
optimization

22. DEMO: Amazon SageMaker

23. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Frameworks
&
Infrastructure
Develop sophisticated models with any framework, create managed, auto-
scaling clusters of GPUs for large scale training, or run inference on trained
models.

24. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Amazon EC2 P3 Instances
• Up to eight NVIDIA Tesla V100 GPUs
• 1 PetaFLOPs of computational performance
– 14x better than P2
• 300 GB/s GPU-to-GPU communication (NVLink)
– 9X better than P2
• 16GB GPU memory with 900 GB/sec peak GPU memory bandwidth
T h e f a s t e s t , m o s t p o w e r f u l G P U i n s t a n c e s i n t h e c l o u d

25. Amazon EC2 C5 instances
AVX 512
72 vCPUs
“Skylake”
144 GiB memory
C5
12 Gbps to EBS
2X vCPUs
2X performance
3X throughput
2.4X memory
C4
36 vCPUs
“Haswell”
4 Gbps to EBS
60 GiB memory
C5: N e xt Ge ne r a t io n
Co m p ut e -O p t im iz e d
I nst a nce s w it h
I nt e l® Xe o n® S ca la b le P r o ce sso r
A WS Co m p ut e o p t im iz e d
inst a nce s sup p o r t t he ne w
I nt e l® A VX-512 a d va nce d
inst r uct io n se t , e na b ling y o u t o
m o r e e f f icie nt ly r un ve ct o r
p r o ce ssing w o r klo a d s w it h
sing le a nd d o ub le f lo a t ing
p o int p r e cisio n, such a s
A I /m a chine le a r ning o r vid e o
p r o ce ssing .

26. AWS Deep Learning AMI
• Easy-to-launch tutorials
• Hassle-free setup and
configuration
• Pay only for what you use
• Accelerate your model training
and deployment
• Support for popular deep
learning frameworks

27. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
A new way to learn
Custom built for deep learning
Broad Framework Support
Deploy models from Amazon SageMaker
Integrated with AWS
Full programmable with AWS Lambda
AWS DeepLens
W o r l d ’ s f i r s t d e e p l e a r n i n g e n a b l e d v i d e o c a m e r a f o r d e v e l o p e r s

28. FRAMEWORKS AND INTERFACES
PLATFORM SERVICES
APPLICATION SERVICES
Amazon
Rekognition
Amazon Polly Amazon Lex
Democratization of AI
Amazon
Rekognition Video
Amazon Transcribe
Amazon Comprehend
Amazon SageMaker AWS DeepLens Amazon EMR
Deep Learning AMI
Amazon Translate

29. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Resources
https://aws.amazon.com/machine-learning
https://aws.amazon.com/blogs/ai
https://aws.amazon.com/sagemaker
An overview of Amazon SageMaker
https://www.youtube.com/watch?v=ym7NEYEx9x4
https://medium.com/@julsimon

30. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
ML on AWS for Education Webinar Series
• Using Voice Technology to Improve Learning: Amazon Polly for
Education, April 24th at 2pm EDT
• Machine Learning Models for Smarter Education Apps with
Amazon SageMaker, May 10th at 2pm EDT
REGISTER
http://aws.amazon.com/education/machine-learning-on-aws-edu-webinars

31. © 2017, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Are you ready to get started today?
If you know how you want to integrate ML on AWS into your
product roadmap or technology infrastructure, we want to
help! Email us today.
• EMAIL: EdTechTeam@amazon.com
• SUBJECT: ML on AWS for EDU Pilot Idea
• CONTENT: Describe your proposed use of ML on AWS
services in your EdTech or institution, and we’ll connect
you with the right team to kick start your project!

32. Thank you!
Julien Simon, Principal Evangelist, AI & Machine Learning
@julsimon