This course covers the various methods and best practices that are in line with business and technical requirements for modeling, visualizing, and analyzing data with Power BI. The course will show how to access and process data from a range of data sources, including both relational and non-relational sources. Finally, this course will also discuss how to manage and deploy reports and dashboards for sharing and content distribution

This course is designed to provide knowledge and skills to staff working in customer service and card centers, enabling them to understand the complexities of payment card systems, analyze industry players and their roles, manage credit effectively, assess risks, and ensure compliance with regulations. Through a combination of theoretical learning, case studies, and practical exercises, participants will gain a deep understanding of various aspects of payment systems and develop the competencies required to excel in their roles..

This course will help you introduce the different facets of Customer Relationship Management (CRM) to participants. It will also help you teach them how to identify who their customers really are, analyze the key components of CRM,and understand how it integrates within an organization.

This course explores the core elements of operational risk, offering clarity on its role and challenges for professionals working in risk and internal control. It provides a practical focus on key areas, including the risk register, internal loss data, control and risk self-assessment, and business process modelling.

This course is designed to empower customer service and sales professionals with the tools and confidence needed to excel in their roles. Participants will learn to identify and cater to customers’ wants and needs and use different strategies to enhance their relationship with their customers. With a focus on flexibility and inspiration in communication, learners will emergeas adept communicators capable of delivering exceptional customer care with energy and commitment

The course is designed for all organization members seeking effective time management through various tools, techniques, and goal-setting strategies. Participants will gain control over their schedules and interactions, optimizing productivity in the workplace

This Intermediate Microsoft Excel participants will advance their skill set by learning to work with advanced formulas, lists, and illustrations, as well as working with charts and advanced formatting including styles to proficient level.

This Advanced Microsoft Excel training class is designed for participants with intermediate Excel skills to gain proficiency in using pivot tables, auditing and analyzing worksheet data, utilizing data tools, collaboratingwith others, and creating and managing macros, given access to Microsoft Excel and relevant datasets, with a high level of proficiency and confidence.

The Microsoft Word – Level II training class is designed for participants looking to create or modify complex business documents using advanced techniques. The course includes hands-on training and practical exercises covering advanced formatting, table creation and formatting, image and graphic management, advanced page layout and design, integration of illustrations and visual elements, and improved document viewing and navigation.Upon completion, participants will be equipped to efficiently manage and produce professional documents.

This course is a comprehensive, end-to-end specialization in Natural Language Processing and Large Language Models. It starts by establishing a solid grounding in machine learning and neural network fundamentals, then moves through classical NLP techniques, sequence modeling, and word embeddings before ascending into the Transformer era — covering BERT, GPT, T5, fine-tuning, prompt engineering, retrieval-augmented generation, and LLM-powered application development. Participants will develop both the theoretical depth and the hands-on engineering skills required to build, fine tune, and deploy NLP systems at a production level. Every module is grounded in practical labs using the modern NLP stack — Hugging Face, LangChain, spaCy, vector databases, and cloud deployment pipelines — and the course concludes with a series of real-world capstone projects spanning chatbots, semantic search, document intelligence, and LLM agents. By the end of this track, participants will have progressed from understanding how language is represented computationally to independently building and shipping LLM-powered applications that solve real business problems