The Palantir Data Engineering Track is a 40-hour, hands-on training program built for professionals looking to work within the Palantir Foundry ecosystem. This course teaches participants how to build efficient data pipelines, model ontologies, and design operational workflows that drive real business impact. Covering end-to-end data engineering tasks — from ETL/ELT design to Foundry-native development — the program combines practical labs with real-world use cases. Learners will work directly within Foundry’s environment, gaining the skills and confidence needed to contribute to enterprise-scale data operations.

This 2–3 day intensive course offers a practical, end-to-end understanding of modern product management. Designed for professionals with business or technical backgrounds, the program covers the complete product lifecycle — from idea generation and market validation to roadmap development, agile delivery, and stakeholder alignment. Through interactive sessions and case-based learning, participants will gain actionable skills to manage digital products, prioritize features, and drive product success in competitive markets. Whether you're entering product roles or strengthening existing capabilities, this course equips you with the mindset and methods of successful product managers.

Quantum Computing with Cirq Training is an immersive 3–4 day foundational program that introduces learners to the rapidly evolving world of quantum computing using Cirq, Google’s open-source framework for developing quantum algorithms. Designed for developers, data scientists, and researchers, this course covers the core principles of quantum mechanics as applied to computing—qubits, quantum gates, quantum circuits, and simulations. Through hands-on labs and guided examples, participants will implement quantum algorithms and simulate quantum behavior in real-world use cases. Whether you're beginning your journey into quantum development or looking to build practical skills with Cirq, this course provides the essential tools to get started.

The Reinforcement Learning course is a 4–5 day advanced training program designed for AI practitioners and data scientists who want to master reinforcement learning (RL) algorithms and apply them in real-world scenarios. This hands-on course covers key RL concepts such as Markov Decision Processes (MDPs), Q-Learning, Policy Gradient methods, and Deep Reinforcement Learning (DRL) using frameworks like TensorFlow, PyTorch, and OpenAI Gym. Through coding exercises and real-world use cases, participants will learn to design agents that learn optimal behaviors through trial-and-error — enabling powerful applications in robotics, game AI, recommendation systems, and autonomous control.

The Saviynt Training is a focused 2–3 day hands-on program designed to help IT security professionals, identity architects, and system administrators master the Saviynt Identity Governance and Administration (IGA) platform. This course covers core functionalities such as identity lifecycle management, access governance, compliance controls, and cloud security integrations. Participants will explore real-world use cases and gain practical experience configuring identity policies, access workflows, and audit controls within Saviynt’s modern, cloud-native architecture. By the end of the training, learners will be equipped to support enterprise IAM initiatives using one of the industry’s leading IGA solutions.

ServiceNow TSM (Technology Services Management) is a cloud-based platform that provides a comprehensive suite of IT service management applications. The course in ServiceNow TSM covers the principles and practices of managing IT services using the ServiceNow platform. The course is designed to equip students with the skills and knowledge needed to effectively manage IT services using ServiceNow. By taking a course in ServiceNow TSM, students can acquire the skills and knowledge necessary to manage IT services effectively using the ServiceNow platform. They can also learn how to apply ServiceNow TSM to solve real-world problems in various IT domains, such as incident management, change management, and asset management.

The SnowPro® Advanced: Data Engineer (DEA-C02) certification course is designed for professionals seeking advanced knowledge and expertise in data engineering using Snowflake. This course focuses on building, optimizing, and maintaining data pipelines and architecture within the Snowflake Data Cloud. It dives deep into key areas such as data transformation, performance optimization, data modeling, continuous data ingestion, and best practices for handling semi-structured data. Learners will also gain a solid understanding of topics like Snowpipe, Streams & Tasks, Time Travel, Cloning, and working with third-party tools in a data pipeline environment. Emphasis is placed on hands-on labs, real-world scenarios, and use cases that challenge learners to apply advanced techniques in real data engineering contexts. The course is aligned with the SnowPro® Advanced: Data Engineer (DEA-C02) certification exam objectives, helping students thoroughly prepare for the exam and validate their skills as Snowflake data engineers.

The SUSE Linux course is designed to provide students with a comprehensive understanding of the SUSE Linux operating system and how to use it in an enterprise environment. The SUSE Linux course provides students with a comprehensive understanding of the SUSE Linux operating system and practical skills for working with it. This course provides an introduction to SUSE Manager, a systems management solution for SUSE Linux Enterprise Server and Red Hat Enterprise Linux. This course covers topics such as installation, configuration, patch management, and system monitoring. This course is suitable for IT professionals who are responsible for managing large numbers of SUSE Linux and Red Hat Enterprise Linux systems. By completing the course, students will be prepared to work with SUSE Linux in a variety of roles, including as system administrators, network engineers, and IT managers.

The telecom industry is a rapidly evolving sector that encompasses a wide range of technologies and services. A course in telecom typically provides students with a comprehensive understanding of the technologies, systems, and networks that underpin this industry. At the end of the course, students will typically have gained a comprehensive understanding of the telecom industry, its technologies, and the various services it provides. They will have gained valuable skills that can be applied in careers related to telecom, such as network design and management, wireless communication, and VoIP. Additionally, students will have a solid foundation for further study in related fields such as computer networking, electrical engineering, and telecommunications engineering. A course in telecom is a valuable resource for individuals looking to gain a comprehensive understanding of this dynamic industry. With its diverse and comprehensive content, a course in telecom can be a stepping stone for students looking to pursue careers in this exciting field.

TensorFlow.js is a 3-day, hands-on training program designed for developers and data enthusiasts who want to build and deploy machine learning models directly in the browser or on Node.js using JavaScript. This course walks participants through model creation, training, and inference, with a focus on real-world applications like image recognition, sentiment analysis, and interactive AI-powered web apps. Whether you're moving ML to the edge or building browser-native intelligence, TensorFlow.js empowers you to integrate AI seamlessly into modern web applications.