Online Professional Certificate 

After completing this hands-on program, you’ll have the foundational and technical context to understand how to build solutions and solve technical problems and how to choose the right AWS solution. You’ll master both the soft skills to become successful cloud consultants and the technical knowledge to go deep into how software gets built, tested and deployed.

ONLINE PROFESSIONAL CERTIFICATE

ACCESS: 6 Months

Akamai Customer Consulting

As part of the program students will build and secure a LINUX virtual machine using virtualization technology. They will also create complex networks using Cisco Packet Tracer, implementing routing, NAT, port forwarding, DHCP, DNS, and packet sniffers, as well as troubleshooting and resolving complex network problems.

Students will design a relational database to contain customer data and security incidents and create queries to analyze date. They will also create and format a multiple page web site that includes graphics, video and audio, and a consistent theme with image maps, columns, tables, and animation.  The web site will include forms for collecting user data and authenticating users.

ONLINE PROFESSIONAL CERTIFICATE

ACCESS: 6 months

Akamai Network Engineering

In this program, students will build and secure a Linux virtual machine using virtualization technology. They will also create complex networks using Cisco Packet Tracer, implementing routing, NAT, port forwarding, DHCP, DNS, and packet sniffers.  

Students will also design a relational database to contain customer data and security incidents and create queries to analyze the data. Then, after creating 4 Python applications from scratch: an age calculator, a word guessing game, a lemonade stand game, and a text-based adventure game, students will create the code to connect a web site to the database to authenticate users and provide user-specific content to users after login.

 

Architecting with Google Kubernetes Engine: Foundations

LENGTH OF ACCESS: Three Months, Rolling Enrollment
LOCATION: Online

Course 6 of 7. In this course, "Architecting with Google Kubernetes Engine: Foundations," you get a review of the layout and principles of Google Cloud, followed by an introduction to creating and managing software containers and an introduction to the architecture of Kubernetes.

Architecting with Google Kubernetes Engine: Foundations

LENGTH OF ACCESS: Two Months, Rolling Enrollment
LOCATION: Online

Course 5 of 6.  In this course, "Architecting with Google Kubernetes Engine: Foundations," you get a review of the layout and principles of Google Cloud, followed by an introduction to creating and managing software containers and an introduction to the architecture of Kubernetes.

Art and Science of Machine Learning

LENGTH OF ACCESS: Two Months
LOCATION: Online
ENROLLMENT DEADLINE: Rolling

Course 6 of 9. Welcome to the Art and Science of machine learning. This course is delivered in 6 modules. The course covers the essential skills of ML intuition, good judgment, and experimentation needed to finely tune and optimize ML models for the best performance. You will learn how to generalize your model using Regularization techniques and about the effects of hyperparameters such as batch size and learning rate on model performance. We’ll cover some of the most common model optimization algorithms and show you how to specify an optimization method in your TensorFlow code.

Building Batch Data Pipelines on GCP

LENGTH OF ACCESS: Three Months, Rolling Enrollment
LOCATION: Online

Course 3 of 6. Data pipelines typically fall under one of the Extra-Load, Extract-Load-Transform or Extract-Transform-Load paradigms. This course describes which paradigm should be used and when for batch data. Furthermore, this course covers several technologies on Google Cloud Platform for data transformation including BigQuery, executing Spark on Cloud Dataproc, pipeline graphs in Cloud Data Fusion and serverless data processing with Cloud Dataflow. Learners will get hands-on experience building data pipeline components on Google Cloud Platform using Qwiklabs.

Building Deep Learning Models with TensorFlow

LENGTH OF ACCESS: Two Months
LOCATION: Online

Course 5 of 6.  In this course you’ll use TensorFlow library to apply deep learning to different data types in order to solve real world problems. After completing this course, learners will be able to: Explain foundational TensorFlow concepts; describe how TensorFlow can be used in curve fitting, regression, classification and minimization of error functions; understand different types of Deep Architectures; apply TensorFlow for back propagation to tune the weights and biases while the Neural Networks are being trained.

Building Resilient Streaming Analytics Systems on GCP

LENGTH OF ACCESS: Three Months
LOCATION: Online

Course 4 of 6. *Note: this is a new course with updated content from what you may have seen in the previous version of this Specialization. Processing streaming data is becoming increasingly popular as streaming enables businesses to get real-time metrics on business operations. This course covers how to build streaming data pipelines on Google Cloud Platform. Learners will get hands-on experience building streaming data pipeline components on Google Cloud Platform using QwikLabs.

ONLINE PROFESSIONAL CERTIFICATE

ACCESS: 6 Months

CVS Health Call Center Customer Service

This program uniquely prepares learners for their new role by using a blend of videos, activities, discussions, simulations, peer-reviewed projects, and a final capstone. As you complete each of these activities, you will create experiences that you can reference in job interviews or even as you work with customers after you have landed the job. At the end of this program you will be able to:

• Create positive interactions with customers
• De-escalate conflict with customers
• Create solutions to customer problems
• Describe the different roles in call center customer service

ONLINE PROFESSIONAL CERTIFICATE

ACCESS; 6 Months

CVS Health Retail Customer Service

This program uniquely prepares you for your new role by using a blend of videos, activities, discussions, simulations, peer-reviewed projects, and a final capstone.  As you complete each of these activities, you will create experiences that you can reference in job interviews or even as you work with customers after you have landed the job.

At the end of this program you will be able to: 
- Create positive interactions with customers
- De-escalate conflict with customers
- Process Retail transactions in real-world situations
- Describe the different roles in retail customer service 

Convolutional Neural Networks in TensorFlow

LENGTH OF ACCESS: Three Months, Rolling Enrollment
LOCATION: Online

Course 2 of 4.This course is part of the upcoming Machine Learning in Tensorflow Specialization and will teach you best practices for using TensorFlow, a popular open-source framework for machine learning. You will explore how to work with real-world images in different shapes and sizes, visualize the journey of an image through convolutions to understand how a computer “sees” information, plot loss and accuracy, and explore strategies to prevent overfitting, including augmentation and dropout. 

Creating Advanced Reports with SAS Visual Analytics

LENGTH OF ACCESS: Two Months, Rolling Enrollment
LOCATION: Online

Course 5 of 5. In this course, you learn how to create advanced data items, filters, and parameters in SAS Visual Analytics.

Data Analysis and Reporting with SAS Visual Analytics

LENGTH OF ACCESS: Two Months, Rolling Enrollment
LOCATION: Online

Course 2 of 5.In this course, you learn how to use SAS Visual Analytics on SAS Viya to modify data for analysis, perform data discovery and analysis, and create interactive reports.

Deep Learning and Reinforcement Learning

LENGTH OF ACCESS: Two Months
LOCATION: Online
ENROLLMENT DEADLINE:  Rolling

Course 5 of 6. This course introduces you to disciplines in Machine Learning: Deep Learning and Reinforcement Learning. First you will learn about the theory behind Neural Networks, which are the basis of Deep Learning, as well as several modern architectures of Deep Learning. Once you have developed a few  Deep Learning models, the course will focus on Reinforcement Learning, a type of Machine Learning that has caught up more attention recently. After this course, you will have considerable practice and a solid understanding in the main types of Machine Learning.