What Courses Can I Take?

WHAT COURSES CAN I TAKE?

Artificial Intelligence and 3D Technology

STEAMBOX is designed to focus you on a path to becoming a 3D Augmented and Virtual Reality Professional or an Artificial Intelligence Technician. By choosing a path and following the courses, you will become a specialized professional, ready to begin a career in your chosen field.

How Does The Program Work?

STEAMBOX can be explained in 4 easy steps:

  • Step 1. Choose which curriculum is of interest to you.
  • Step 2. Apply to be accepted into the training program.
  • Step 3. Take and complete the courses at your own pace.
  • Step 4. Finish either a capstone project or an apprenticeship.

3D Augmented and Virtual Reality Professional

Prerequisites – An Interest in 3D/VR

Like any training program, we place you in beginning or 101 type courses in order to both asses your base level knowledge and to teach you or fill in any gaps so that you can begin your specialized coursework in the 3D Augmented and Virtual Reality space.

24 Hours of Class Time | Cost: $1,200 – Certificate Class
24 Hours of Class Time | Cost: $275 | 4 Days/2-weekends – Non-Certificate Class

Whether you’re a photographer, designer, or illustrator, learning how to use Photoshop CC 2018 efficiently and effectively is a beneficial investment you can make to get the most out of your creations. Adobe Photoshop is a complex, and, at times, an intimidating product. In this course, you will learn how to filter out the noise and complexity and empower you to quickly move through the toolset to achieve the desired finished product.

Review the basics of digital imaging—from working with multiple images to customizing the Photoshop interface to suit your needs. Explore all of the different Photoshop tools to crop and retouch photos, while always maintaining the highest-quality output. Explore the most efficient ways to perform common tasks, including working with layers, making selections, and masking. Understand the art of nondestructive editing using Smart Objects, and helps you master features such as adjustment layers, blend modes, filters, and much more—increasing your productivity every step of the way.

Topics include:

  • Opening documents in Photoshop
  • Opening files from Bridge and Lightroom
  • Working with multiple documents
  • Panning and zooming documents
  • Customizing the Photoshop interface
  • Modifying keyboard shortcuts for speed
  • Understanding file formats
  • Choosing color modes, bit depth, and color space
  • Cropping and transforming images
  • Working with layers and layer masks
  • Making selections
  • Removing distracting elements
  • Getting to know the blend modes
  • Working with adjustment layers
  • Applying non-destructive filters
  • Getting to know the blend modes
  • Applying filters

24 Hours of Class Time | Cost: $1,200 – Certificate Class
24 Hours of Class Time | Cost: $275 | 4 Days/2-weekends – Non-Certificate Class

This course provides an overview of modelling, animating, and rendering 3D graphics in the open-source software Blender. Beginning with a tour of the Blender interface, you will learn to create and edit basic objects, work with modifiers and subdivision surfaces, and apply materials and textures. The course also demonstrates lighting 3D scenes, setting up and using cameras, animating objects, and assembling basic character rigs.

Topics include:

  • Navigating in 3D space
  • Selecting, rotating, and scaling objects
  • Using Snap to move objects precisely
  • Creating mesh primitives and extrusions
  • Subdividing meshes
  • Creating a simple creature
  • Joining mesh objects and stitching vertices
  • Organizing a scene with layers, groups, and hierarchies
  • Assigning glossy and reflective materials to objects
  • Creating bump maps
  • Creating sky and ambient light
  • Understanding ambient occlusion
  • Adding motion blur and depth of field
  • Editing animation in the Graph Editor
  • Building and animating a simple character

24 Hours of Class Time | Cost: $1,200 – Certificate Class
24 Hours of Class Time | Cost: $275 | 4 Days/2-weekends – Non-Certificate Class

Unreal Engine is a complete suite of game development tools made by game developers for game developers. From 2D mobile games to console blockbusters, indie experiments, and virtual reality, Unreal Engine can power it all. In this course, we cover the essentials of level design, lighting, effects, Visual Scripting, cinematics, and game packaging with Unreal. He covers creating your first project, building a base landscape, blocking out levels, and exporting and importing assets for use in the design. Want to find out how to craft a unique look? Learn about applying materials and creating special effects with Unreal’s particle systems. Plus, get a thorough introduction to Blueprints, the visual scripting language, and optimizing performance for great gameplay with Unreal.

Topics include:

  • Customizing the Unreal UI
  • Creating a new project
  • Creating landscapes
  • Blocking out levels
  • Assembling a scene
  • Working with materials and lights
  • Adding post-processing effects
  • Defining bodies of water
  • Adding atmospherics, foliage, and wind
  • Working with the Blueprint editor
  • Creating cinematics
  • Monitoring performance
  • Packaging a game for distribution

Unity Basics

24 Hours of Class Time | Cost: $1,200 – Certificate Class
24 Hours of Class Time | Cost: $275 | 4 Days/2-weekends – Non-Certificate Class

Unity is a powerful interactive development tool for mobile and desktop games and real-time simulations and visualizations. This course covers techniques used in Unity visualizations and game development and introduces the basics of level design, lighting, materials, and animation. Learn to set up a project and review the Unity user interface, including how to apply materials, add animation to bring your game to life, add postprocessing effects, and more. In the final course segment, participants learn how to package and build a playable game.

Topics include:

  • Setting up a Unity project
  • Customizing the UI
  • Navigating Unity
  • Exporting and importing assets for Unity
  • Creating and organizing new materials
  • Creating, exporting, and importing prefabs
  • Level building
  • Creating and implementing animation
  • Optimizing collisions
  • Baking lighting
  • Packaging your Unity project

24 Hours of Class Time | Cost: $1,200 – Certificate Class
24 Hours of Class Time | Cost: $275 | 4 Days/2-weekends – Non-Certificate Class

Substance Designer is a great tool for creating interactive product visualizations. Using its real-time 3D View, you can change the look of a product on the fly, allowing clients to visualize different manufacturing options. Learn how to use Substance Designer to set up a flexible product with dynamic colors, textures, and logo placement. Our instructors show you how to create realistic materials, such as metal, plastic, and rubber, and bake out data maps to place the materials using the Blend Material node. Explore the parameters for the materials – how to adjust the camera, exposure, and viewport effects so that the product looks its best. You will also learn how to create high-quality still images to display alongside the interactive 3D View, using the iRay render engine.

Topics include:

  • Building the materials
  • Blending the materials
  • Adding interactivity
  • Adding logos, text, and surface choices
  • Setting up the environment
  • Rendering the visualization

Professional Visualization Certificate

Based on employer need, or your own curiosity, STEAMBOX™ can train you up in any of the following titles:

  • Nuke | Visual effects dominate at the box office, and Nuke is the compositing software that is used at high-end studios to create those mind-blowing effects. In this comprehensive course, we will introduce this complex and powerful tool to visual effects artists new to Nuke. Starting with an introduction to the unique node-based interface and progressing through techniques like color correction, keying, rotoscoping, and tracking, this course covers Nuke from top to bottom.
  • ZBRUSH
  • Maya | Learn to create high-quality 3D models and animations in Maya 2018. This course covers the core Maya skills—modeling, texturing, rendering, and animation—within a real-world, project-based workflow. The techniques you’ll learn here translate equally well to film, motion graphics, game design, and animation.
  • 3DS Max | 3ds Max is best known for its modeling and rendering tools. These strengths come into play in architecture, manufacturing, game development, industrial design, and motion graphics. There are dozens of features and techniques to master, from sculpting and texturing to lighting and rendering. This course covers 3ds Max from the ground up, providing an overview of the entire package as well as essential skills that 3D artists need to create professional models and animations.

Data Curator

Prerequisites – High School Algebra

Like any training program, we place you in beginning or 101 type courses in order to both asses your base level knowledge and to teach you or fill in any gaps so that you can begin your specialized course work in the Artificial Intelligence space.

  • Create your own database or interact with existing databases
  • Write complex SQL queries across multiple tables
  • Build a web app using NodeJS and MySQL
  • Model real-world data and generate reports using SQL
  • Answer company performance or sales questions using data
  • Use Python for Data Science and Machine Learning
  • Use Spark for Big Data Analysis
  • Implement Machine Learning Algorithms
  • Learn to use NumPy for Numerical Data
  • Learn to use Pandas for Data Analysis
  • Learn to use Matplotlib for Python Plotting
  • Learn to use Seaborn for statistical plots
  • Use Plotly for interactive dynamic visualizations
  • Use SciKit-Learn for Machine Learning Tasks
  • K-Means Clustering
  • Logistic Regression
  • Linear Regression
  • Random Forest and Decision Trees
  • Natural Language Processing and Spam Filters
  • Neural Networks
  • Support Vector Machines
  • Understand different categories of data
  • Generate various datasets and modify them with parameters
  • Use a multitude of data visualization techniques
  • Generate data from distributions, trigonometric functions, and images
  • Understand forward models and how to use them to generate data
  • Improve MATLAB and Python programming skills

Once you complete your courses, STEAMBOX provides you with opportunities for apprenticeships or capstone projects in conjunction with real businesses Data Analytics/Data Science/AI industries.

Artificial Intelligence Technician

Prerequisites – High School Algebra

Like any training program, we place you in beginning or 101 type courses in order to both asses your base level knowledge and to teach you or fill in any gaps so that you can begin your specialized course work in the Artificial Intelligence space.

The course is project-based, so you will be applying your new skills immediately to real AI projects.

As a beginner, you will learn key Artificial Intelligence (AI) concepts and intuition training in all things AI. This includes building AI even without prior coding experience (Python), merging AI with OpenAI Gym to increase efficiency, and optimizing AI to reach its maximum potential in real-world applications.

What you will learn:

  •     AI (Artificial Intelligence) theory
  •     How AI can solve real-world problems
  •     State-of-the-art AI models
  •     Deep Q-Learning
  •     Deep Convolutional Q-Learning
  •     A3C
  •     Development of a virtual self-driving car

Includes:

  •     Full lifetime access
  •     Access on mobile and TV
  •     17 hours on-demand video
  •     120 Articles
  •     18 Supplemental Resources
  •     Certificate of Completion

Also included:

  •     Step-by-step guides for code and what each line of code represents
  •     Code templates – downloadable Python templates
  •     Intuition Tutorials – developing a deep understanding not only for what you’re doing, but why
  •     Real-world solutions – three separate training modules comprised of unique structures and challenges
  •     In-course support – STEAMBOX™ has put together a team of professional Data Scientists to support your journey, meaning you’ll receive responses to questions within 48 hours

The course is project-based, so you will be applying your new skills immediately to real AI projects.

This phase has been specially designed to make it easy for the students to learn Python, Django, Data Analysis, Flask, Tkinter & Web Scraping. Through 24 X 7 support and high quality video instructional content, students are guided at every stage of their learning.

Requirements:

  •     Passed phase two – AI Concepts and Basics
  •     A computer with internet connection

What you will learn:

  •     Python concepts and syntax
  •     Web-Application building using Python
  •     GUI based application development in Python using Tkinter
  •     Full-stack web app development using Python and Django
  •     How to make your own web-scraping tool using Python
  •     Django concepts
  •     Flask concepts
  •     How to perform data analysis using Python

Includes:

  •     Full lifetime access
  •     Access on mobile and TV
  •     21 hours on-demand video
  •     37 Articles
  •     1 Supplemental Resource
  •     Certificate of Completion

Complete Course divided into 6 Sections:

  •     Section 1: Python
  •     Section 2: Make GUI In Python Using Tkinter
  •     Section 3: Data Analysis
  •     Section 4: Python Web Framework Django
  •     Section 5: Python Web Framework Flask
  •     Section 6: Web Scraping in Python

The course is project-based, so you will be applying your new skills immediately to real AI projects.

Using real open source data you will become technically fluent using Tableau, The course is split into three stages, each designed to give a solid foundation in tableau without leaving the student with knowledge gaps.

Stage 1: The Apprentice: The absolute fundamentals of Tableau. Hit the ground running by learning all the basics, and how tableau manipulates your data.

Stage 2: The Master: Advance your data visualization skills and learn to leverage your data.

Stage 3: The Hero: Put all your skills learned to the test, and learn even more by completing a fully interactive workbook consisting of three linked dashboards.

Requirements:

  •     Passed phase three – Python Masterclass
  •     Install Tableau public, personal or professional (the course covers v9 to v10.5 of Tableau)

What you will learn:

Dashboard Functionality:

  •     Actions (Filter, Highlight and URL)
  •     Navigation between dashboards via actions
  •     Parameters: The Fundamentals
  •     Parameters: Switching between measures
  •     Parameters: As a global filter
  •     Dashboard Design: Make it look good
  •     Dashboard Design: Make it function well
  •     Review & Publishing
  •     When to use storyboards vs dashboards

Chart Types:

  •     Text Tables
  •     Heat Maps
  •     Highlight Tables
  •     Waterfall Chart (BONUS)
  •     Symbol Maps
  •     Filled Maps
  •     Pie Charts
  •     Bar Charts
  •     Stacked Bars
  •     Side by Side Bars
  •     Dual Axis Charts
  •     Tree Maps
  •     Scatter Plots
  •     Area Charts
  •     Box and Whisker
  •     Histogram
  •     Bullet
  •     Bubbles
  •     Control Charts
  •     Word cloud

Tableau Essentials:

  •     Connecting to Data
  •     What “Good” data Looks like
  •     Dashboards and Stories
  •     How tableau pivots on your data
  •     Hierarchies
  •     Bins and Distributions
  •     Calculated Fields
  •     Table Calculations
  •     Tableau Calculations as functions
  •     Window calculations
  •     Data blending and joining
  •     Reference lines & Bollinger bands
  •     Forecast
  •     Trendline
  •     Clustering
  •     Filters, including the context filter
  •     Grouping & Sets
  •     Using time series charts
  •     Formatting (colors, fonts etc)
  •     Custom colors
  •     Custom shapes
  •     WMS Mapping
  •     Packaging workbooks

Includes:

  •     Full lifetime access
  •     Access on mobile and TV
  •     9 hours on-demand video
  •     3 Articles
  •     24 Supplemental Resources
  •    Certificate of Completion

The course is project-based, so you will be applying your new skills immediately to real AI projects.

Machine Learning without all the math.

A brief bit of essential theory will aid you when we move into using Keras — one of the easiest and most powerful machine learning tools out there – your machine learning training will commence with coding so you see the fruits of your labor soon.

Requirements:

  •     Passed phase four – Visualization with Tableau
  •     Some knowledge of programming – preferably Python

What you will learn:

  •     How to run deep learning models with Keras on Tensorflow backend
  •     How to feed data to deep learning models and handle issues as they arise
  •     Code Convolutional Neural Networks
  •     Graph-based deep models involving residual connections and inception modules
  •     How to use Keras’ functional API to create models with multiple inputs and outputs
  •     Convolutional Neural Networks
  •     Residual Connections
  •     Inception Module

Additional learnings:

  •     Specialized but optional mathematics heavy talks explaining the inner working of machine learning and deep learning
  •     Machine learning principles to solve real-world case studies
  •     How to solve “shape issues” that make machine learning difficult to apply in real life
  •     ConvNets and graph-based machine learning models such as Residual Connections and Google’s Inception Module
  •     Using Keras’ functional API to create powerful models
  •     How to use Google’s GPUs to speed up experiments
  •     Tips on avoiding mistakes made by new-comers to the field and the best practices to get you to your goal with minimal effort

Includes:

  •     Full lifetime access
  •     Access on mobile and TV
  •     3.5 hours on-demand video
  •     4 Supplemental Resources
  •     Finished codes for the examples run in training videos
  •     Real-time chat system for students of this course.
  •     Certificate of Completion

The course is project-based, so you will be applying your new skills immediately to real AI projects.

Designed to balance theory and practical implementation, this course will guide you through Google’s TensorFlow framework to create artificial neural networks for deep learning. Furthermore, we will give you a guide to the complexities of Google’s TensorFlow framework in a way that is easy to understand.

Requirements:

  •     Passed phase five – Deep learning with Keras and Python
  •     Some knowledge of programming – preferably Python

Topics covered:

  •     Neural Network Basics
  •     TensorFlow Basics
  •     Artificial Neural Networks
  •     Densely Connected Networks
  •     Convolutional Neural Networks
  •     Recurrent Neural Networks
  •     AutoEncoders
  •     Reinforcement Learning
  •     OpenAI Gym and much more!
  •     Why TensorFlow?

What you will learn:

  •     How Neural Networks Work
  •     How to build your own Neural Network from scratch with Python
  •     How to use TensorFlow for Classification and Regression Tasks
  •     How to use TensorFlow for Image Classification with Convolutional Neural Networks
  •     How to use TensorFlow for Time Series Analysis with Recurrent Neural Networks
  •     How to use TensorFlow for solving Unsupervised Learning Problems with AutoEncoders
  •     How to conduct Reinforcement Learning with OpenAI Gym
  •     How to create Generative Adversarial Networks with TensorFlow

Includes:

  •     Full lifetime access
  •     Access on mobile and TV
  •     14 hours on-demand video
  •     7 Articles
  •     5 Supplemental Resources
  •     Certificate of Completion

Additional information:

TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. TensorFlow was originally developed by researchers and engineers working on the Google Brain Team within Google’s Machine Intelligence research organization for the purposes of conducting machine learning and deep neural networks research, but the system is general enough to be applicable in a wide variety of other domains as well.

Once you complete your courses, STEAMBOX provides you with opportunities for apprenticeships or capstone projects in conjunction with real businesses in the 3D and AR/VR/AI industries.

WE’RE NEVER MORE THAN A CLICK AWAY

STEAMBOX is available 24/7 online for your convenience or at select locations with an ever growing list of physical locations.

Plus, once you complete the courses, you’ll be eligible for either an apprenticeship or a capstone project at a real, highly respected company.

Where is STEAMBOX?

READY TO BEGIN?

Getting started is easy.

All you need is a few pieces of information to fill out the application below. Your STEAMBOX journey begins here.

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