The GenAI – Software Development Lifecycle is a 1-day (8-hour), hands-on training program designed to give professionals a practical and business-aligned introduction to Generative AI. Covering both technical and strategic perspectives, this program explores how GenAI is reshaping the modern software development lifecycle — from ideation and design to coding, testing, documentation, and deployment. Participants will gain real-world exposure to GenAI-powered tools and learn implementation best practices for applying AI within the development process. This course bridges the gap between understanding GenAI conceptually and knowing how to actually use it across real workflows in software teams.
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.
This 2–3 day practical training program introduces participants to Groovy programming and Shell scripting, focusing on their use in automation, system administration, and DevOps pipelines. Designed for professionals with basic programming or scripting knowledge, the course teaches how to write efficient scripts to automate repetitive tasks, manage environments, and enhance CI/CD workflows. Through real-world scenarios and lab exercises, learners will build scripts that streamline operations, increase productivity, and reduce manual intervention in system-level tasks.
The HL7 training is an 8-hour introductory program designed for healthcare and IT professionals seeking to understand healthcare interoperability standards. This course covers the fundamentals of HL7 Version 2, Clinical Document Architecture (CDA), and Fast Healthcare Interoperability Resources (FHIR). Participants will explore how HL7 standards enable seamless data exchange across healthcare systems, improve integration, and support better patient care. With a practical approach, the program introduces real-world use cases, message structures, and hands-on exercises to strengthen understanding. By the end of this course, learners will have the foundational knowledge required to work with HL7 standards in healthcare IT environments.
