Lua Training Courses
Lua is a lightweight, embeddable scripting language that supports procedural programming, object-oriented programming, functional programming, data-driven programming, and data description.
NobleProg onsite live Lua training courses demonstrate through discussion and hands-on practice how to get started programming in Lua and use Lua's versatility to develop solutions applications ranging from systems applications to games.
Lua training is available in various formats, including onsite live training and live instructor-led training using an interactive, remote desktop setup. Local Lua training can be carried out live on customer premises or in NobleProg local training centers.
As I had the benefit of one-on-one training, even without a fully flushed out course outline I was able to get many of the instructions I was looking to achieve. Adam has also provided additional material which in turn I've been using to expand some of the learning concepts.
Nova Scotia Provincial Government - Internal Services Department - ICT Services
Course Name: Comprehensive Lua
Lua Course Outlines
|luacomp||Comprehensive Lua||21 hours||Lua is an easy to use scripting language that is used as an embedded plugin/extension language in different products. For example it is the embedded scripting language of network applications like nmap and wireshark, and can also be found as a scripting language in World of Warcraft, Orbiter and other games. Lua can also be used as a standalone language. It is a lightweight, multi-paradigm programming language and therefore the course teaches various concepts that students will find useful in other areas of software engineering as well. This course covers everything out there to know about Lua. We build up from the basic programming constructs, learn about advanced techniques and finally talk about embedding of Lua into other programming languages and embedding other programming languages into Lua. The course contains a lot of programming exercises, so that newcomers can gain proficiency with the language, starting from scratch.|
|luaemb||Lua Embedding||14 hours||This Lua course teaches how to interact with Lua from C (and/or other programming languages). We discuss integration in both directions: how to embed C code in Lua (eg. for performance gains), and how to make a C/C++/Java program extensible with Lua. As an in-class exercise we create a small program that is extensible with Lua. The course also tackles the Lua virtual machine and teaches how to understand the bytecode underpinning the language. This course can serve an add-on to the Lua Fundamentals or Lua Advanced courses in which case a shorter (1 day) version can be organized.|
|luaadv||Advanced Lua||14 hours||This is an advanced course on Lua, where basic knowledge of the programming language is already assumed. Therefore this course gives the participant a more profound understanding of Lua internals and the "why" behind the used Lua idioms. These advanced topics are demonstrated by plenty of examples and in-class exercises.|
|luafun||Lua Fundamentals||14 hours||Lua is an easy to use scripting language that is used as an embedded plugin/extension language in different products. For example it is the embedded scripting language of network applications like nmap and wireshark, and can also be found as a scripting language in World of Warcraft, Orbiter and other games. Lua can also be used as a standalone language. It is a lightweight, multi-paradigm programming language and therefore the course teaches various concepts that students will find useful in other areas of software engineering as well. This course covers the basic programming constructs in Lua and contains a lot of programming exercises, so that newcomers can gain proficiency with the language, starting from scratch. After completing the course the students will be able to write middle sized standalone Lua programs and script software products where Lua is the embedded language.|
|Torch||Torch: Getting started with Machine and Deep Learning||21 hours||Torch is an open source machine learning library and a scientific computing framework based on the Lua programming language. It provides a development environment for numerics, machine learning, and computer vision, with a particular emphasis on deep learning and convolutional nets. It is one of the fastest and most flexible frameworks for Machine and Deep Learning and is used by companies such as Facebook, Google, Twitter, NVIDIA, AMD, Intel, and many others. In this course we cover the principles of Torch, its unique features, and how it can be applied in real-world applications. We step through numerous hands-on exercises all throughout, demonstrating and practicing the concepts learned. By the end of the course, participants will have a thorough understanding of Torch's underlying features and capabilities as well as its role and contribution within the AI space compared to other frameworks and libraries. Participants will have also received the necessary practice to implement Torch in their own projects. Audience Software developers and programmers wishing to enable Machine and Deep Learning within their applications Format of the course Overview of Machine and Deep Learning In-class coding and integration exercises Test questions sprinkled along the way to check understanding|
|openresty||OpenResty||7 hours||OpenResty is a full-fledged web platform that integrates Nginx, LuaJIT and Lua libraries. It allows for the construction of high-performance web applications capable of handling 10K ~ 1000K+ connections in a single box. OpenResty is used by Alibaba, CloudFlare, and Tumblr, among others. In this instructor-led, live training, participants will learn how to use OpenResty to build a number of demo solutions, including a web application, web service, and a dynamic web gateway. By the end of this training, participants will be able to: Turn an nginx web server into a web application server Use the Lua programming language to script nginx C modules and Lua modules Run server-side web applications completely inside the Nginx server Integrate OpenResty with remote backends such as MySQL, PostgreSQL, Memcached, and Redis Audience Developers Format of the course Part lecture, part discussion, exercises and heavy hands-on practice|