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Artificial Intelligence Online Training Courses - Live Blockchain, AI, and RPA are rapidly evolving in the technological environment. Staying abreast of these emerging technologies allows your organization to remain competitive in the marketplace. We make it easy to stay on top of the curve by offering training in all three areas. Industries like health care, banking, and manufacturing are looking to blockchain for greater transparency, enhanced security, improved traceability, and increased efficiency. Use cases range from tracking and managing cross-border payments to verifying the origin and authenticity of products to identity management. Developing an understanding of how these technologies work and how they can be applied in the real world is key to keeping tech skills relevant. We offer blockchain training courses that guide your organization from a high-level overview to an in-depth dive. We have hands-on courses for applications, like Ethereum and Hyperledger Whether you’re a business leader, an architect, or a developer, we have blockchain training for everyone. Artificial Intelligence (AI) is the way of the future. Organizations investing in these technologies are automating tasks, curating their customer experience, and making better business decisions. With the right strategy, new and innovative products and services are helping companies capture market share and increase revenues. Our AI courses cover all the skills and know-how your organization needs to keep on top of this new must-have technology. More CIOs are turning to an emerging technology practice called robotic process automation (RPA) to streamline enterprise operations and reduce costs. With RPA, businesses can automate mundane rules-based business processes, enabling business users to devote more time to serving customers or other higher-value work. If this is entering your ecosystem, our RPA courses can get you started as well as elevate existing skills.Filter by Topic
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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.
Introduction to AI (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
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.
Implementing AI in Business: Stakeholder Strategies for the Modern Data Driven, Automated Enterprise (TTAI2101)
Dive into the dynamic world of Artificial Intelligence (AI) with …
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.