Programming Training Classes and Seminars In Indianapolis, IN

<div><p>Join an engaging hands-on learning environment, where you’ll learn to:</p> <ul> <li>Automate front end interfaces</li> <li>Interact with APIs</li> <li>Open Telnet and SSH sessions</li> <li>Read and write data from popular file types (including Excel)</li> <li>Transform data between popular data structures like JSON and YAML</li> <li>Learn to interact with switches and routers using Python libraries</li> </ul> <p>This is a lab-intensive hands-on course with engaging instruction, demos, an...

This hands-on course is intended for those individuals with little or no software development experience...

<div><p>Working within an engaging, hands-on learning environment led by our highly-experienced coding mentors, students will learn how to:</p> <ul> <li>Using Visual Studio to create C# applications</li> <li>Working with the .NET data types</li> <li>Creating variables with the proper scope and using operators to build complex expressions</li> <li>Using control structures such as if, while and for</li> <li>Using procedures to build complex applications</li> <li>Designing and using classes</li> <l...

<div><p>This skills-focused course is approximately 50% hands-on. Our engaging instructors and mentors are highly experienced practitioners who bring years of current "on-the-job" experience into every classroom. Working in a hands-on learning environment, guided by our expert team, attendees will explore:</p> <ul> <li>Storage Basics</li> <li>MongoDB Document Model</li> <li>MongoDB Setup</li> <li>CRUD: Basics through Advanced Concepts</li> <li>Performance: Basics through Advanced Concepts</li> <...

<div><p>This course provides indoctrination in the practical use of the umbrella of technologies that are on the leading edge of data science development focused on R and related tools.  Working in a hands-on learning environment, led by our expert practitioner, students will learn R and its ecosystem, and where it’s a better a tool than Excel.</p> <p>This course is approximately <strong>50% hands-on</strong>, combining expert lecture, real-world demonstrations and group discussions with machine...

<div><p>This course is approximately <strong>50% hands-on</strong>, combining expert lecture, real-world demonstrations and group discussions with machine-based practical labs and exercises.  Our engaging instructors and mentors are highly experienced practitioners who bring years of current "on-the-job" experience into every classroom.  Working in a hands-on learning environment, guided by our expert team, attendees will learn to:</p> <ul> <li>Develop full-stack web sites based on content store...

<div><p>Working in a hands-on learning environment led by our expert practitioner, attendees will explore:</p> <ul> <li>Basic RDBMS Principles</li> <li>The SQL Language and Tools</li> <li>Using SQL Developer</li> <li>SQL Query Basics</li> <li>WHERE and ORDER BY</li> <li>Functions</li> <li>ANSI 92 Joins</li> <li>ANSI 99 Joins</li> <li>GROUP BY and HAVING</li> <li>Subqueries</li> <li>Regular Expressions</li> <li>Analytics</li> </ul></div>...

As machine learning and artificial intelligence algorithms grow more sophisticated, the need for a high-performance development environment grows greater and greater...

In this course, youll learn about the different ways you can squeeze performance out of Python

Artificial Intelligence is revolutionizing Human Resources, shifting the landscape in unprecedented ways....

Upon completion of this course, the student will be able to meet these overall objectives: Understand, Articulate, and Operationalize Nexus Dashboard Use Cases and Benefits Operate and Configure Nexus Dashboard Install and Operate Nexus Dashboard Apps Configure Nexus Insights, Orchestrator, and Fabric Controller Explore Fabric Telemetry with Nexus Insights Explore Nexus Dashboard and Nexus Insights APIs...

Build a message flow that manages workload distributions between two integration nodes Develop a message flow that manages workload distributions between two integration nodes by using IBM MQ Design a message flow that reads from and writes to a Java Messaging Service destination queue Create a message flow that transforms an XML input into a JSON Array output structure using a Mapping node Create a Data Format Description Language (DFDL) message model schema in a shared library and test it by parsing the input data Develop an application that serializes a message with an XML message as input Transform messages using the Compute or a JavaCompute node Design a message flow that reads from and writes to a database by using Open Database Connectivity (OBDC) and Java Database Connectivity (JDBC) connections...

Generative AI for Excel Power Users will help you engage with artificial intelligence using Microsoft Excel to recognize patterns, transform and clean up data and evaluate your data analysis needs to make your workday more productive....

If you’re like most technical professionals, your work messages are filled with technical jargon and codes. That’s fine when you’re interacting with your fellow techies, but what happens when you need to communicate with non-technical people?...

<div><p>Working within in an engaging, hands-on learning environment, guided by our expert Python practitioner, students will learn to:</p> <ul> <li>Create working Python scripts following best practices</li> <li>Use python data types appropriately</li> <li>Read and write files with both text and binary data</li> <li>Search and replace text with regular expressions</li> <li>Get familiar with the standard library and its work-saving modules</li> <li>Use lesser-known but powerful Python data types...

Attend this Applied Data Science with Python and Jupytertraining course and learn about some of the most commonly used libraries that are part of the Anaconda distribution and then explore machine learning models with real datasets...

Starting with the basics of deep learning and their various applications, Applied Deep Learning with PyTorch shows you how to solve trending tasks, such as image classification and natural language processing by understanding the different architectures o...

Starting with the basics, this course teaches you how to choose from the various text pre- processing techniques and select the best model from the several neural network architectures for NLP issues...

If you want to become a Data Scientist, this is the place to begin!Introduction to Data Science, Machine Learning AI (Python version) covers every stage of the Data Science Lifecycle, from working with raw datasets to building, evaluating and deploying M...

In this course, we first start with an introduction to Deep Learning

With so much data being continuously generated, developers with a knowledge of data analytics and data visualization are always in demand...

This course assumes a working knowledge of Python basics including data structures, importing and using modules, and creating functions...

<div><p>Join an engaging hands-on learning environment, where you’ll learn:</p> <ul> <li>Core machine learning mathematics and statistics</li> <li>Supervised Learning vs. Unsupervised Learning</li> <li>Classification Algorithms including Support Vector Machines, Discriminant Analysis, Naïve Bayes, and Nearest Neighbor</li> <li>Regression Algorithms including Linear and Logistic Regression, Generalized Linear Modeling, Support Vector Regression, Decision Trees, and k-Nearest Neighbors (KNN)</li> ...

<div><p>Join an engaging hands-on learning environment, where you’ll:</p> <ul> <li>Create and run basic programs</li> <li>Design and code modules and classes</li> <li>Implement and run unit tests</li> <li>Use benchmarks and profiling to speed up programs</li> <li>Process XML and JSON</li> <li>Manipulate arrays with NumPy</li> <li>Get a grasp of the diversity of subpackages that make up SciPy</li> <li>Use iPython notebooks for ad hoc calculations, plots, and what-if?</li> <li>Manipulate images wi...

<div><p>Join an engaging hands-on learning environment, where you’ll explore:</p> <ul> <li>Neural Text Classification: Develop a deep learning model to classify the sentiment of movie reviews as either positive or negative.</li> <li>Neural Language Modeling: Develop a neural language model on the text of Plato in order to generate new tracts of text with the same style and flavor as the original.</li> <li>Neural Photo Captioning: Develop a model to automatically generate a concise description of...