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.
The GIT Training course is a focused, 16-hour hands-on program designed to help developers and technical professionals master version control using Git—the industry-standard tool for managing source code in modern software projects. Whether you're working solo or within a team, this course equips you with essential skills to track changes, collaborate efficiently, and avoid costly errors during development. You’ll learn Git fundamentals like repositories, commits, and history navigation, along with more advanced topics like branching, merging, rebasing, conflict resolution, and remote collaboration with platforms like GitHub and GitLab. With real-world scenarios, command-line exercises, and collaborative workflows, this course ensures you gain practical experience using Git confidently in any software development environment.
The GitHub Copilot Fundamentals program is a fast-paced 1–2 day training designed to help developers unlock the full potential of AI-powered coding using GitHub Copilot. This course introduces participants to the core capabilities of Copilot, including code generation, autocomplete, documentation drafting, test creation, bug fixing, and workflow acceleration across popular IDEs. Through guided demos and hands-on exercises, learners will explore how Copilot transforms daily development tasks—helping engineers write cleaner code faster, reduce repetitive work, and focus more on problem-solving. The course also covers prompt writing for developers, Copilot best practices, security considerations, and integrating Copilot into real development pipelines. By the end of the training, participants will confidently use GitHub Copilot to streamline development workflows, improve productivity, and enhance code quality across personal and enterprise projects.
Google Analytics and Adobe Analytics are two popular web analytics tools used to track and analyze website traffic and user behavior. Both tools offer a variety of features and functionality, and there are courses available to help users learn how to use these tools effectively. Both courses are designed for digital marketers, website owners, and other professionals who need to track and analyze website traffic and user behavior. Participants will learn how to use these tools to make data-driven decisions and improve website performance. Upon completion of the Google Analytics or Adobe Analytics course, participants will have a comprehensive understanding of how to use these tools to analyze website traffic and user behavior, as well as the ability to generate reports and make data-driven decisions based on the insights gained from these reports. They will also be equipped with the skills and knowledge needed to pursue further certifications in these areas.
The Google Workspace, formerly known as G Suite, is a cloud-based productivity and collaboration suite that includes email, cloud storage, video conferencing, documents, spreadsheets, presentations, and more. The course on Google Workspace is designed to help individuals and businesses learn how to use this suite of tools effectively. The course on Google Workspace is ideal for anyone who wants to learn how to use Google’s suite of productivity and collaboration tools effectively. It is particularly useful for small business owners, entrepreneurs, freelancers, and remote workers who rely on cloud-based tools to work collaboratively and efficiently.
GPON (Gigabit-capable Passive Optical Network) is a popular fiber optic technology used in telecommunications to provide high-speed internet, voice, and video services to customers. A course in GPON covers the technology, architecture, and configuration of GPON networks, as well as the hardware and software components involved in their deployment and management. A course in GPON is essential for professionals working in the telecommunications industry, including network engineers, network administrators, and network security professionals. By completing the course, students will gain the skills and knowledge necessary to design, deploy, and manage GPON networks, making them valuable assets to any organization that relies on this technology. Additionally, the course can help students prepare for certification exams, such as the Fiber Optic Association Certified GPON Specialist exam, which can further enhance their career prospects in the field.
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.
Groovy EPM is a specialized 12–16 hour training program designed for professionals working with Oracle Enterprise Performance Management (EPM) applications. The course focuses on leveraging Groovy scripting to enhance and customize planning processes through dynamic calculations, real-time data validations, and powerful automation. Starting with the fundamentals of the Groovy language, participants learn how to integrate scripts within Oracle EPM environments to control business rules, optimize data flows, and drive tailored user experiences. With hands-on labs and practical examples, learners explore real-world use cases such as runtime prompts, conditional logic, smart push operations, and validation frameworks. Whether you’re a planning administrator, developer, or functional consultant, this course equips you with the scripting skills needed to unlock advanced capabilities within EPM Cloud and on-premise Hyperion Planning environments.
