With the knowledge you gain from this course, you can quickly develop Machine Learning solutions on Amazon Web Services (AWS).
You will be introduced to techniques for data exploration to help you find patterns, meaning, and value in your company data through hands-on laboratories and practical activities.
At the end of the course, participants will be able to:
Understand Machine Learning (ML) concepts
Prepare your data
Upload your dataset to Amazon SageMaker
Train, analyze, and tune an ML model
Analyze and publish your results
Anyone who needs to develop machine learning solutions to analyze data and wants to take use of Amazon's cloud-based data science platform.
Overview of key Machine Learning and Deep Learning concepts
Getting about in AWS
Overview of SageMaker features
Taking your first look at SageMaker studio
Identifying your data and articulating your problem
Format data for consistency
Cleaning and validating your data
Uploading to SageMaker
Clustering
Trend analysis
Finding other relationships between different types of data
Frequency tables
Cross-tabulation tables
Bar charts
Line graphs
Pie charts
Heat Maps
Scatter graphs
Creating a Training job
Assigning Compute resources
Selecting the right algorithm
Overview of using custom code (Python, TensorFlow)
SageMaker Hosting Services
Configuring and creating an HTTPS endpoint
Making inferences from your dataset
Indexing and real-time indices
Using Batch Transform to preprocess data to train a new model
You can learn the skills you need to help a company implement, manage, and maintain a disaster recovery plan by taking a Disaster Recovery Manager training course. You will also receive a comprehensive understanding of best practices for disaster recovery during this training course.
You can take the exam and submit an application for a "Certified Disaster Recovery Manager" credential once you have mastered all the principles required for Disaster Recovery procedures. You can prove that you have the professional skills and practical knowledge necessary to implement and manage disaster recovery processes in a business by having a disaster recovery manager certificate.
Managerial accounting is an activity that provides financial and non-financial information to business managers and other internal decision-makers of an organization. This course examines how managerial accounting information is gathered, and how it is used by business professionals to make effective plans & decisions. Lessons such as fundamentals of managerial accounting cost accounting concepts, and managerial accounting approaches will provide you with the concepts, procedures, and analytical skills you'll need to make informed decisions in today's challenging business world
One of the major keys to success in the business world is being able to apply “discipline” to your life and actions! This is the key to developing personal effectiveness and professional excellence.
The level of competition in current business environments requires a focus on practices that assist in the management of personal and workgroup tasks, priorities, and projects. All types of organizations need to find more productive means to offer their products and/or services, so goals are established and tasks assigned to better meet customer and stakeholder needs. A focus on the use of productive practices allows for effective and efficient management of project work, establishing priorities and meeting deadlines, and is an important part of customer service.
This course is designed to provide leaders and professionals with a set of transformational tools and techniques to help them maximize their own and their team’s creative potential in a strategic context. Its starting-point is self-discovery: participants will work on the inside first and then focus outwards to impact on the world of business.