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Advanced C++ 20 Programming (TTCP2175)

24 hours
Expert

Geared for experienced C++ developers, Advanced C++ 20 Programming / …

What you'll learn
<b>Become a Pro at SOLID Design:</b> You'll delve into SOLID design principles, mastering how to write clean, maintainable code. By the end, you'll be able to identify and avoid design smells, enhancing the overall quality of your projects.
<b>Master the Art of Factory Implementation:</b> Get hands-on with factories in C++. We'll guide you through the basics and options, including Singleton, to help you understand the critical role of factories in object-oriented design.
<b>Up Your Game with Operator Overloading:</b> You'll learn about operator overloading and its applications. By understanding how to enhance the readability and flexibility of your code, you'll streamline your programming tasks.
<b>Unlock the Power of Templates:</b> We'll dive into the intriguing world of templates, exploring variance, concepts, and the 'auto' keyword. You'll get to implement covariant and contravariant templates, broadening your C++ expertise.
<b>Ace Multithreading and Asynchronous Programming:</b> We'll explore the realms of multithreading and asynchronous programming, equipping you with the tools to create efficient, high-performance applications. You'll get to practice with mutexes, semaphores, atomics, and coroutines, gaining invaluable experience for your future projects.

Introduction to C++ Programming (TTCP2100)

40 hours
Beginner

Introduction to C++ Programming Essentials is a four-day, hands-on course …

What you'll learn
<b>Foundations: </b>Grids & Virtualization; SOA, ESB / EMB, The Cloud
<b>The Hadoop Ecosystem:</b> HDFS; Resource Navigators, MapReduce, Spark, Distributions
Big Data, NOSQL, and ETL
<b>ETL:</b> Exchange, Transform, Load
Handling Data & a Survey of Useful tools
Enterprise Integration Patterns and Message Busses
Artificial Intelligence and Business Systems
Who’s on the Team? Evolving Roles and Functions in Data Science
Growing your Infrastructure
What you'll learn
Gain a solid understanding of Generative AI, its evolution, and its role in shaping innovative business solutions, positioning you to effectively drive AI initiatives in your organization.
Acquire the ability to identify potential Generative AI use cases in your industry and evaluate their feasibility and value, empowering you to make informed decisions that can enhance business operations.
Learn how to manage the lifecycle of an AI project efficiently, equipping you with the knowledge to guide projects from inception to successful deployment, with continuous monitoring and improvement.
Develop an understanding of AI and data security best practices, along with the crucial role of data in Generative AI, fostering your ability to safeguard your AI systems effectively.
Stay ahead of the curve by gaining insights into the upcoming trends and technologies in Generative AI, enabling you to maintain a competitive edge in your organization in this rapidly evolving field.

Introduction to AI (Beginner)

4 hours
Beginner

This course provides a comprehensive overview of the fundamental concepts …

What you'll learn
Understand the history and current state of the industry
Develop the ability to engineer prompts properly and navigate GPT and Claude
Explore how different AI models are built and work in their most basic form
Analyze the ethical implications and legal complexities of AI technologies and potential problems looking forward
Discuss where AI may be heading in the future

Machine Learning Fundamentals

3 hours
Beginner

Machine Learning Fundamentals offers an in-depth exploration of machine learning, …

What you'll learn
Understand the key algorithms used in machine learning and their applications.
Differentiate between supervised, unsupervised, and reinforcement learning.
Explore different machine learning techniques in live demos.
Apply statistical methods to analyze and interpret data in the context of machine learning.
Evaluate machine learning models and understand the principles of performance metrics.
What you'll learn
Learn which data is most useful to collect now and why it’s important to start collecting that data as soon as possible.
Understand the intersection between big data, data science and AI (Machine Learning / Deep Learning) and how they can help you reach your business goals and gain a competitive advantage.
Understand the factors that go into choosing a data science and AI driven systems including whether to go with a cloud-based solution.
Explore common tools and technologies to aid in making informed decisions.
Gain the skills required to build your data science, AI and machine learning teams.

Introduction to XML Fundamentals (TT4300)

24 hours
Beginner

The Extensible Markup Language (XML) is a standard that is …

What you'll learn
Write well-formed XML documents
Model business requirements using XML
Handle XML reserved characters
Validate an XML document with a Schema
Centralize data and markup definition with entities
Create Schemas using XML tools
Generate XML documents from databases
Write XSL templates to transform XML documents into HTML
Integrate XML, XSL and the DOM to implement a complete solution
Understand the security concerns related to XML processing
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