AWS Certified Machine Learning - Specialty 2019
This course starts off with coming to grips with Machine Learning (ML), Deep Learning (DL), and Artificial Intelligence (AI) terminology. After the theory comes the practice. You'll get hands-on with a number of ML frameworks and AWS services specific to the certification.It also gives you the hands-on experience required to use machine learning and deep learning in a real-world environment.
Mr. Vimal Daga
World Record Holder | TEDx Speaker | Philanthropist | Sr. Principal Consultant | Entrepreneur
Chief Technical Officer (CTO) LinuxWorld Informatics Pvt Ltd
LinkedIn Profile
About Vimal Daga: Vimal combines more than a decade of practical knowledge of evolving technologies, including Linux, Open Source and Security. He maintains a passion of learning new dimensions of technology, understanding breakthrough ideas and connecting common men with new media.
His key technical areas are: Big Data, Data Analytics, Cloud Computing, OpenStack, Storage - Glusterfs, Web Application Security, Dev Ops, Linux Server Security and many more to go.
He has been honored with a convincing number of authority awards for his contribution to Rajasthan's Linux culture, and for bringing the benefits of technology to the masses in an uncomplicated yet useful manner. He shares an excellent portfolio of being certified by leading technological institutions (such as first public RHCSS (Ex333) of India, first Cisco Certified System Instructor in Rajasthan) Currently, he chairs the role of Chief Technical Officer at Linux World - a company that was founded to make Linux and open source easily accessible and understandable to budding technocrats.
Launched around a decade back, LinuxWorld today enjoys a prized position as one of the fastest growing and most recognized Linux training and consultancy institutions in India - working for individuals, corporate entities and educational institutions. All that was possible for hard work, attention to detail and successful execution of ideas of Vimal
Besides hosting seminars, organizing workshops, discovering new avenues of technology in keynote speaking sessions, he contributes to authority publications that deal in Linux.
To know more about Mr.Vimal Daga - Click Here
AWS Certified Machine Learning - Specialty 2019
FB page:- LinuxWorld India
Introduction to the Course
Data Collection
- Introduction
- General Data Terminology
- Machine Learning Data Terminology
- AWS Data Stores
- AWS Migration Tools
- AWS Helper Tools
Streaming Data Collection
- Introduction
- Kinesis Data Streams
- Kinesis Firehose
- Kinesis Video Streams
- Kinesis Data Analytics
Data Preparation
- Introduction
- Categorical Encoding
- Text Feature Engineering
- Numeric Feature Engineering
- Other Feature Engineering
- Handling Missing Values
- Feature Selection
- Helper Tools
Data Analysis and Visualization
- Introduction
- Relationships
- Comparisons
- Distributions
- Compositions
- Choosing A Visualization
Modeling
- Introduction
- Data Preparation
- SageMaker Modeling
- SageMaker Training
Algorithms
- Introduction
- Regression
- Clustering
- Image Analysis
- Anomaly Detection
- Text Analytics
- Reinforcement Learning
- Forecasting
- Ensemble Learning
Evaluation and Optimization
- Introduction
- Monitoring and Analyzing Training Jobs
- Evaluating Model Accuracy
- Model Tuning
Implementation and Operations
- Introduction
- AI Developer Services
- Amazon SageMaker Deployments
- Other ML Deployment Options
- Security
- Monitor and Evaluate
The AWS Certified Machine Learning Specialty (MLS-C01) exam is intended for individuals who perform a Development or Data Science role. This exam validates an examinee ability to build, train, tune, and deploy machine learning (ML) models using the AWS Cloud. It validates an examinee ability to design, implement, deploy, and maintain ML solutions for given business problems. It will validate the candidate ability to:
- Select and justify the appropriate ML approach for a given business problem
- Identify appropriate AWS services to implement ML solutions.
- Design and implement scalable, cost-optimized, reliable, and secure ML solutions.
- Select and justify the appropriate ML approach for a given business problem
- Identify appropriate AWS services to implement ML solutions
- Design and implement scalable, cost-optimized, reliable, and secure ML solutions
- 1-2 years of experience developing, architecting, or running ML/deep learning workloads on the AWS Cloud
- The ability to express the intuition behind basic ML algorithms
- Experience performing basic hyperparameter optimization
- Experience with ML and deep learning frameworks
- The ability to follow model-training best practices
- The ability to follow deployment and operational best practices
Abilities Validated by the Certification
Recommended AWS Knowledge
Exam Cost - 300 USD (Practice exam: 40 USD)
Time - 170 minutes to complete the exam
Further Information
If you would like to know more about this course please ping us @ :
call us on 0091 9829105960 / 0091 141 2501609
send an email to training@lwindia.com or training@linuxworldindia.org
