The GCP Cloud course is designed to provide a comprehensive understanding of how to leverage the Google Cloud Platform (GCP) to design and deploy scalable and reliable cloud-based applications. The course covers a range of topics, including how to manage and deploy GCP infrastructure, how to use GCP services for storage and database management, and how to implement security and compliance best practices on GCP. Upon completing the course, participants will have a good understanding of how to leverage GCP to design and deploy scalable and reliable cloud-based applications. They will also be able to manage and optimize GCP resources for cost and performance, and implement security and compliance best practices on GCP. The GCP Cloud course is an excellent choice for developers, IT professionals, and anyone who wants to learn how to leverage the Google Cloud Platform to design and deploy cloud-based applications. The course provides valuable skills and knowledge that can be applied to a range of industries and business sizes.
The GCP Cloud Developer course is designed for professionals who want to learn how to develop applications using Google Cloud Platform (GCP). GCP Cloud Developer is a certification offered by Google Cloud Platform (GCP) for individuals who want to develop, deploy, and maintain applications on the GCP cloud platform. As a GCP Cloud Developer, you will be responsible for developing, testing, and deploying applications using GCP services such as Google Compute Engine, Google Kubernetes Engine, Google Cloud Functions, and others. The course covers a wide range of topics related to cloud development, including cloud architecture, serverless computing, containers, application development, and deployment.
The GCP Professional Cloud Security Engineer certification is designed for professionals who want to validate their skills in designing and implementing secure solutions on Google Cloud Platform (GCP). It provides a wide range of cloud-based services, including infrastructure, storage, networking, database, and analytics services, to help businesses and organizations run their operations in the cloud. GCP offers a highly scalable and secure cloud infrastructure that is designed to handle large-scale applications and workloads. It provides flexible pricing options, allowing customers to pay only for the resources they use. GCP also offers a variety of tools and services for developing, deploying, and managing applications in the cloud, including Kubernetes, BigQuery, and Cloud Functions. This course covers a wide range of topics related to cloud security, including data protection, identity and access management, network security, and incident management.
The Gen AI training program is an in-depth, 176-hour learning experience designed to build strong foundations and advanced skills in Artificial Intelligence, Machine Learning, and Python-based data science workflows. This program blends theory with real-world practice, covering core programming concepts, hands-on data analysis, machine learning techniques, and applications in computer vision and AI systems. Participants will work extensively with industry-standard libraries such as NumPy, Pandas, Matplotlib, OpenCV, and others to develop, test, and deploy intelligent solutions. By the end of the course, learners will have the ability to build end-to-end AI-powered applications and understand how modern computational tools are shaping decision-making, automation, and innovation.
The Gen AI - Advanced Program is an 8-hour intensive training designed for technical professionals, architects, data scientists, and developers who wish to elevate their expertise in building and deploying advanced Generative AI solutions. This program delves deep into the complexities of Gen AI, enabling participants to design and implement custom AI models, optimize performance, and integrate them into real-world systems. Participants will gain hands-on experience in working with cutting-edge tools and frameworks for Gen AI, including advanced techniques in model tuning, multi-modal integration, and large-scale deployment strategies. Throughout the course, you'll explore how to deploy Gen AI solutions effectively in cloud environments, optimize for cost, performance, and scalability, and ensure compliance and ethical considerations are embedded into your solutions. By the end of the program, you will be ready to tackle complex AI challenges and apply Gen AI solutions to meet specific business needs.
The GenAI – Awareness Program is an 8-hour, non-technical learning session tailored for business leaders, managers, and professionals who want to understand the core concepts and real-world implications of Generative AI. Designed to demystify GenAI, the program introduces its applications, strategic opportunities, potential risks, and the importance of responsible governance. Participants will explore how GenAI is shaping the future of work and how it can be adopted thoughtfully across industries. No coding or deep technical knowledge required — just curiosity and a willingness to learn.
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.
