Trainings

Programs, sessions, and learning opportunities from the PyLoom team.

Beginner
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Corporate AI Training

Master Artificial Intelligence to Increase Productivity and Transform Your Workplace Artificial Intelligence is reshaping the modern workplace. This 15-day live online training program is …

Artificial Intelligence is transforming the way organizations operate by enabling employees to work smarter, faster, and more efficiently. The Corporate AI Training Program by PyLoom Technologies is a comprehensive 15-day live online professional development course designed to help corporate professionals harness the power of AI to improve productivity, streamline workflows, and drive innovation across the workplace. This practical, hands-on training introduces participants to today's most powerful AI tools and demonstrates how they can be applied to automate repetitive tasks, generate high-quality content, analyze business data, create professional reports and presentations, improve communication, and support informed decision-making. Rather than focusing on theory alone, the program emphasizes real-world business applications that participants can implement immediately in their daily roles. Throughout the course, participants will learn how to leverage leading AI technologies such as ChatGPT, Microsoft Copilot, Google Gemini, Claude, Perplexity AI, NotebookLM, and other productivity-enhancing tools. They will gain practical experience in prompt engineering, document automation, data analysis, email drafting, meeting summarization, presentation creation, customer support, marketing content generation, and workflow automation while understanding the ethical and responsible use of AI in the workplace. Designed for professionals from HR, Finance, Sales, Marketing, Operations, Customer Service, Administration, Project Management, and Executive Leadership, this program requires no prior AI or programming experience. By the end of the training, participants will have the confidence and practical skills to integrate AI into their everyday work, enhance individual and team productivity, reduce manual effort, and contribute to digital transformation initiatives within their organizations. The program combines live instructor-led sessions, interactive demonstrations, practical exercises, case studies, real-world business scenarios, and hands-on projects, ensuring that every participant leaves with immediately applicable AI skills that create measurable business value. Delivered by PyLoom Technologies, this training equips organizations with the knowledge and tools needed to embrace Artificial Intelligence as a strategic advantage and build a more productive, innovative, and future-ready workforce.
Learning Outcomes
After completing the course, participants will be able to: Confidently integrate AI into their daily work Save significant time on repetitive tasks Produce higher-quality business documents Analyze and summarize information efficiently Communicate more effectively with clients and colleagues Make better data-informed decisions Adopt AI responsibly within organizational policies
Start: Jul 02, 2026 Time: 6:30 PM Duration: 15 Days
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Intermediate

Teacher's Training (Computer Science)

A comprehensive 72-hour professional development and certification program designed to equip secondary school Computer Science teachers with the technical expertise, practical teaching skills, and …

The Computer Science Teacher Training Program by PyLoom Technologies is a structured professional development course developed for aspiring and in-service secondary school teachers. The program combines subject knowledge, classroom pedagogy, hands-on laboratory practice, project-based learning, and modern educational technologies to prepare teachers for effective Computer Science instruction. Participants receive practical training in computer systems, web technologies, Python programming, databases, networking, cybersecurity, multimedia, artificial intelligence, and contemporary technologies while developing lesson planning, classroom management, assessment design, and instructional delivery skills through micro-teaching and capstone teaching demonstrations. The training is aligned with Nepal's Grade 9 and Grade 10 Computer Science curriculum and is suitable for both public and private educational institutions.
Learning Outcomes
Teach the Grade 9 and Grade 10 Computer Science curriculum confidently. Deliver engaging Python programming lessons using practical examples. Develop HTML, CSS, database, networking, and multimedia classroom activities. Integrate Artificial Intelligence and digital tools responsibly into teaching. Design competency-based assessments and practical evaluations. Apply project-based learning and active classroom strategies. Conduct effective computer laboratory sessions. Develop lesson plans, teaching materials, and student projects aligned with the national curriculum.
Start: Aug 15, 2026 Time: 5:00 PM
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Intermediate

AI and Automation (Banks & FIs)

AI-Powered Business Automation for Banking & Financial Institutions Empower your banking workforce with practical Artificial Intelligence (AI) and Business Automation skills. This comprehensive training …

Artificial Intelligence is transforming the global banking industry by streamlining operations, enhancing customer experiences, improving fraud detection, and enabling data-driven decision-making. This professional training program introduces participants to the latest AI technologies, automation strategies, and intelligent business processes tailored for the banking and financial services sector. Participants will learn how AI can automate repetitive tasks, assist employees in daily operations, improve regulatory compliance, accelerate document processing, analyze financial data, and support customer engagement through intelligent virtual assistants and AI-powered tools. The course emphasizes practical implementation using widely available AI platforms and automation technologies, enabling organizations to begin their AI transformation journey with confidence.
Learning Outcomes
Upon successful completion of this training, participants will be able to: Understand the fundamentals of Artificial Intelligence and Business Automation. Identify banking processes suitable for AI-driven automation. Use Generative AI tools to improve workplace productivity. Automate document processing and reporting. Apply AI in customer service and relationship management. Understand AI applications in fraud detection, AML, and KYC. Analyze banking data using AI-assisted techniques. Design AI-assisted workflows for operational efficiency. Implement responsible and ethical AI practices. Develop an AI adoption roadmap for their organization.
Start: Sep 01, 2026 Time: 6:00 PM Duration: 15 Days
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Intermediate

Professional Data Engineering

A comprehensive, industry-oriented Data Engineering program designed to develop professionals capable of building, deploying, and managing scalable data platforms using Python, SQL, PySpark, AWS, …

The Professional Data Engineering program by PyLoom Technologies is an intensive, practical, project-based training program designed to develop job-ready Data Engineering professionals with strong skills in modern data platforms and enterprise data architecture. The program covers the complete Data Engineering lifecycle, beginning with advanced Python and SQL and progressing through data modeling, ETL/ELT, data warehousing, data lakes, distributed data processing, cloud data engineering, data pipelines, real-time streaming, data quality, orchestration, DevOps, and data architecture. Participants will gain hands-on experience with industry-relevant technologies including Python, SQL, Apache Spark, PySpark, AWS, Snowflake, dbt, Apache Airflow, Apache Kafka, Docker, Git, CI/CD, and data quality tools. The program emphasizes practical implementation rather than tool-based learning alone. Participants will build multiple projects throughout the training and progressively integrate their knowledge into production-style data pipelines. The final stage includes an Enterprise Data Engineering Capstone Project, where participants design and implement an end-to-end data platform involving data ingestion, cloud storage, distributed processing, data warehousing, transformation, orchestration, data quality, and analytics. The program is designed to prepare participants for professional Data Engineering roles in technology companies, financial institutions, telecom organizations, software companies, and other data-driven enterprises.
Learning Outcomes
Learning outcomes: By the end of this program, participants will be able to: Develop robust data engineering applications using advanced Python. Write complex, optimized SQL queries for large datasets. Design and implement ETL and ELT pipelines. Work with structured, semi-structured, and unstructured data. Apply data modeling and data warehousing principles. Design star schemas, fact tables, dimension tables, and data marts. Build scalable data processing pipelines using Apache Spark and PySpark. Understand distributed data processing and Spark performance optimization. Build cloud-based data platforms using AWS. Work with AWS S3, Glue, Athena, EMR, Redshift, Lambda, and CloudWatch. Design and manage cloud data warehouses using Snowflake. Build transformation workflows using dbt. Develop and manage data pipelines using Apache Airflow. Build real-time and event-driven data pipelines using Apache Kafka. Work with streaming data using Spark Structured Streaming. Implement data validation, testing, quality checks, and monitoring. Apply Git, Docker, CI/CD, and DevOps practices to Data Engineering projects. Design scalable, reliable, secure, and cost-effective data architectures. Understand modern Data Lake, Data Warehouse, and Lakehouse architectures. Understand the fundamentals of MLOps and ML data pipelines. Apply Data Engineering techniques to large-scale business and telecom datasets. Troubleshoot and optimize production-style data pipelines. Develop an enterprise-grade Data Engineering project from end to end. Build a professional portfolio demonstrating practical Data Engineering skills. Prepare for technical interviews and professional Data Engineering roles.
Date: Aug 16, 2026 Time: 12:00 PM Duration: 145 days
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PyLoom Team