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Introduction to Jira (TTDV7541)
Jira from Atlassian is a leading project management software that …
What you'll learn
<b>Grasp the Basics:</b> Familiarize yourself with the fundamental concepts, terminologies, and infrastructure of JIRA to lay a strong foundation for effective usage.
<b>Master Business and Agile Projects:</b> Gain hands-on experience in using JIRA for business and agile projects, enhancing your skills in task management, process management, and running projects with Kanban.
<b>Navigate Issue Management:</b> Become proficient in dealing with issues, issue cloning, and time tracking to streamline your tasks and subtasks.
<b>Customize Field and Screen Management:</b> Learn to tailor built-in and custom fields, and work with JIRA screens and screen tabs, personalizing your user experience.
<b>Map Out Your Workflow:</b> Understand how to map business processes, manage workflows, and apply them to projects, transforming complex procedures into manageable steps.
<b>Sharpen Your Search and Reporting Skills:</b> Utilize JIRA's powerful searching and reporting tools, mastering both basic and advanced search with JIRA Query Language (JQL), and creating insightful reports and dashboards.
Introduction to Kubernetes (TTDV7590)
Containerization has taken the IT world by storm, in the …
What you'll learn
What a Kubernetes cluster is, and how to deploy and manage them on-premises and in the cloud.
How Kubernetes fits into the cloud-native ecosystem, and how it interfaces with other important technologies such as Docker.
The major Kubernetes components that let us deploy and manage applications in a modern cloud-native fashion.
How to define and manage applications with declarative manifest files that should be version-controlled and treated like code.
Introduction to GitHub for Developers (TTDV7551)
Introduction to GitHub for Developers is a fast-paced hands-on course …
Quick Start to Using Azure OpenAI (TTAI2321)
Are you ready to unlock the power of OpenAI and …
What you'll learn
Understand the basics of OpenAI and its products, and how they can be used to improve business processes and decision making.
Learn how to use GPT-3 for text generation, including generating product descriptions and customer service responses.
Learn how to use DALL-E for image generation, including generating product images and marketing materials.
Understand OpenAI's decision-making capabilities and how to use them to improve decision making in business scenarios.
Learn about real-world business applications of OpenAI, including examples of companies using it, and explore potential future uses of OpenAI in business.
Learn how to use OpenAI in day-to-day business operations and explore resources for additional tools and support.
Quick Start to Prompt Engineering for Everyday Business Users (TTAI2009)
Prompt engineering is the process of designing and refining input …
What you'll learn
Get comfortable with the basics of prompt engineering and discover how it can make a difference in various business tasks, such as enhancing customer support, creating content, and fine-tuning sales pitches.
Develop the knack for crafting, refining, and perfecting prompts suited to specific business situations by understanding context, user intent, and what makes a prompt great.
Learn how to smoothly incorporate prompt engineering solutions into your existing business workflows, including pinpointing the right processes, integrating with your current software, and keeping data privacy and security in check.
Become proficient in advanced techniques and best practices in prompt engineering, like making use of APIs, customizing language models, and collaborating with your teammates across different departments.
Keep up with the latest developments in prompt engineering and be ready to adapt to changing business needs and trends, ensuring that you stay relevant and continue to grow in the dynamic business world.
Data Science & Big Data Overview: Tools, Tech & Modern Roles in the Data Driven Enterprise (TTDS6000)
The Data Science & Big Data Overview | Tools, Tech …
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
Generative AI for Decision Makers and Architects: A Practical Approach for Decision Makers and Architects (TTAI2102)
Welcome to the exciting world of Generative AI – we’ll …
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.
Privacy and Security in AI
This course explores the critical aspects and security within the …
What you'll learn
Understand the privacy implications and risks associated with AI technologies
Discover the different security stances by users, hobbyists, professionals, and organizations
Explore how AI providers use personal data and secure it
Investigate data leaks within AI modems
Learn about the regulatory and ethical frameworks governing data privacy in AI
Develop skills in threat modeling and secure development practices for AI systems
Analyze real-time examples of vulnerabilities and security pitfalls
