The GenAI Architect Track is a 32-hour advanced training program designed for professionals aiming to lead enterprise-grade Generative AI implementations. This hands-on course covers key concepts in building scalable AI workflows using LLMs, including model context protocols (MCP), multi-agent systems, prompt engineering, and secure integrations with APIs and legacy systems. Participants will work with industry-standard tools such as LangChain, HuggingFace, and OpenAI, while exploring advanced topics like RAG, compliance, observability, and AI cost optimization. Labs and real-world scenarios reinforce concepts and practical application. Ideal for architects, ML engineers, and technical leads, this course empowers learners to design secure, efficient, and production-ready GenAI solutions within cloud, hybrid, or on-prem environments.
The GenAI Developer Track is a 40+ hour advanced training program tailored for developers and ML engineers ready to build and deploy powerful LLM-based applications. The course offers in-depth, hands-on experience with modern GenAI tools such as LangChain, HuggingFace, and OpenAI APIs, while covering core concepts like prompt engineering, agentic AI, and multi-agent systems. Learners will explore real-world use cases like RAG-based bots, dynamic chat agents, and LLM-integrated workflows using tools like Slack, Streamlit, and Gradio. With a focus on practical labs, debugging techniques, and deployment strategies, this track equips participants to confidently design, build, and optimize GenAI applications for real production environments.
The iOS course is designed to help individuals learn how to develop mobile applications for Apple’s iOS platform. iOS is the operating system that powers iPhones, iPads, and iPod Touch devices. The course covers a range of topics related to iOS app development, including programming languages, development tools, and best practices. An iOS course can provide students with the skills and knowledge needed to develop high-quality mobile applications for Apple’s iOS platform. With the increasing popularity of iPhones, iPads, and iPod Touch devices, the demand for skilled iOS developers is likely to continue to grow in the years ahead.
The IoT Deployments course is designed to provide participants with an in-depth understanding of how to design, implement, and manage IoT deployments. The course covers the core concepts of IoT, including its architecture, technologies, and protocols, as well as the challenges and opportunities associated with IoT deployments. The course covers best practices for managing and monitoring IoT deployments, including tips for optimizing cost, managing resource utilization, and monitoring performance. Upon completion of the IoT Deployments course, participants will have a solid understanding of the key features and capabilities of IoT and will be equipped with the knowledge and skills needed to design, implement, and manage enterprise IoT deployments. The course also provides participants with the foundation they need to pursue further certifications in IoT or related fields.
The ITIL V4 (Information Technology Infrastructure Library Version 4) certification course is designed to provide a comprehensive understanding of IT service management (ITSM) principles, practices, and concepts. ITIL V4 is the latest version of the ITIL framework, and it focuses on delivering value to customers through services. The course also covers important ITSM topics such as incident management, problem management, change management, service level management, and service catalog management. These topics are essential for IT professionals who want to improve their knowledge of ITSM processes and best practices. The ITIL V4 certification course is designed for IT professionals who are responsible for ITSM processes within their organization, including service desk managers, IT operations managers, and IT service management consultants. It is also suitable for those who are interested in pursuing a career in ITSM.
The MLOps: End-to-End Practices for Model Deployment & Governance course is a 40-hour comprehensive training designed to equip professionals with the knowledge and skills to effectively manage machine learning (ML) models throughout their lifecycle. This course covers end-to-end MLOps practices, from model deployment and monitoring to governance. You will learn how to automate ML pipelines, integrate continuous integration and continuous deployment (CI/CD) practices for ML, and implement drift detection mechanisms to ensure model reliability. Additionally, the course delves into AI governance frameworks to ensure models remain compliant, transparent, and ethically sound. By the end of the course, participants will be proficient in managing and scaling ML models in production environments, ensuring models are deployed efficiently, monitored for performance degradation, and governed within industry standards. This training is ideal for data scientists, ML engineers, and DevOps professionals looking to integrate MLOps practices into their workflows.
The Netscaler (Citrix ADC) training is a comprehensive 5-day program designed to equip professionals with the knowledge and skills required to manage Citrix ADC platforms effectively. Starting with the essentials—platforms, architecture, licensing, and core functionality—the course then progresses into advanced traffic management concepts. Participants will explore load balancing, SSL offloading, global server load balancing (GSLB), and performance optimization, alongside critical features like high availability and security. The training also dives into AppExpert policy engine usage, Responder and Rewrite policies, and content switching. By the end of this course, learners will be prepared to deploy, configure, secure, and optimize Citrix ADC in enterprise environments.
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.
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.
