This course provides a solid foundation by covering key topics such as Compute, Networking, Storage, Observability and Management, Identity and Access Management, and Security. It equips you for success in the 1Z0-1072 exam. For more information, please don't hesitate to reach out to us.

This course is for those who completed associate level training, ready to plan, design, implement, and operate OCI solutions. Skills covered include designing scalable, resilient solutions, Cloud-Native architecture, Infrastructure as Code, Oracle Database Services, and hybrid/multi-cloud architectures. It prepares for the 1Z0-997-23 certification. For further information, please don't hesitate to reach out to us.

This course is tailored for individuals who have completed associate-level training and are prepared to design, implement, and manage OCI solutions. It covers skills such as designing scalable, resilient solutions, cloud-native architectures, infrastructure as code, Oracle Database Services, hybrid and multi-cloud designs, and workload migration to OCI. This training supports preparation for certification 1Z0-997 and includes modules on Autonomous Database Technical Overview, Autonomous Database Shared, Autonomous Database Dedicated & Autonomous Database Cloud @ Customer, Managing and Maintaining Autonomous Database, Autonomous Database Tools, and Developing an Autonomous Database. For further details or inquiries, please don't hesitate to contact us.

Participants acquire skills in provisioning, dimensional modeling, and data visualization. They utilize Advanced Analytics and create machine-learning models, alongside leveraging Oracle Analytics Cloud's augmented capabilities and mobile applications. Topics cover provisioning, modeling, visualization, preparation, Advanced Analytics, Machine Learning, Answers, Dashboards, and BI Publisher. This training also aids in preparing for certification 1Z0-1041. For further details, feel free to contact us.

This course is intended for data scientists and professionals responsible for managing the complete lifecycle of machine learning models. It validates candidates' ability to identify OCI services for specific business use cases and incorporate machine learning best practices. Topics include OCI Data Science setup, ML lifecycle implementation, MLOps integration, and use of OCI Data & AI Services. This training also aids in preparing for certification 1Z0-1110 . For further details, feel free to contact us.

This course targets Software Developers, Machine Learning/AI Engineers, and Gen AI Professionals with basic knowledge of ML and DL concepts, Python, and OCI. Upon completion, participants will possess a robust understanding of LLM architecture and proficiency in utilizing OCI Generative AI Services like RAG and LangChain for LLM application development, evaluation, and deployment. Topics covered include LLM fundamentals, OCI Generative AI Service utilization, and building LLM applications. This credential also aids in 1Z0-1127 certificate preparation. For more information, please don't hesitate to reach out to us.

This program is meticulously designed for individuals seeking to master computer vision, starting from basic concepts to advanced proficiency. Participants will learn to develop and deploy computer vision solutions, covering topics such as image processing, object detection, segmentation, and recognition. From fundamental principles to advanced techniques, our comprehensive curriculum ensures a thorough understanding of computer vision. Through practical exercises, projects, and expert guidance, participants will acquire the skills and knowledge necessary to excel in this rapidly evolving field. This training program is structured to support learners in progressing from foundational to mastery levels in computer vision. For detail information please connect with us.

This program is meticulously crafted for individuals aiming to master Deep Learning using PyTorch and TensorFlow frameworks, progressing from foundational understanding to advanced proficiency. Participants will delve into neural network architectures, optimization algorithms, and model deployment techniques. Through hands-on projects and expert guidance, learners will gain comprehensive skills in Deep Learning, preparing them to tackle real-world challenges and advance in their careers. This training program offers a structured pathway for learners to transition from basic concepts to mastery in Deep Learning with PyTorch and TensorFlow. For detail information please connect with us.