Project : LW-PSI-SP-106 - Create Your OWN Artificial Intelligence Platform Using ML/DL & Generative AI Integrated With DevOps Pipeline Along With Cloud Computing - Generative AIOps

Develop Own Cloud Computing with AI Intelligence by Custom Machine/Deep Learning Model that deploy using DevOps Technology Integrated with Generative AI - ChatGPT API

Use Cases: E-commerce, Healthcare, Education, Marketing, Autonomous vehicles, Fraud Detection, Anomaly Detection, Image and Video Recognition, and Supply Chain Optimization.

Project Type: AI product development with cloud computing services, ML, DevOps

Project Description:

The goal of this project is to develop an intelligent cloud computing system that utilises Artificial Intelligence (AI) algorithms to optimise cloud computing services. This system will provide advanced features to automate various cloud computing tasks, such as resource provisioning, workload management, and security management. This project includes. This project works in libraries of Python like NumPy, Pandas, Math, and Seaborn (Python Libraries), Data preprocessing, Data Transformation, Data Reduction, Data Visualization, Clustering, Regression Models, Simple Neural Networks and Cloud computing and models will be integrated with the cloud. Also, services like Amazon SageMaker, Rekognition, Comprehend, Transcribe, Amazon Forecast, Personalise, Lex, Fraud Detector, Translate, Le, Poll, and Transcribe will be covered in this project.

“We are designing and developing our own application and platform using Intelligent Cloud Computing Services with DevOps Using AI, providing a unique opportunity to gain hands-on experience in developing innovative solutions for real-world problems.”

Note: All the Global Training content would be covered to the extent the same is required in the project

Important: All the RedHat , MLOps and any certification exam program related requirement will be covered independently if the candidate is going for certification.

Project and Training Duration: 45 days

Synopsis of the Technologies Used / Associated:

Note: All the Global Training content would be covered to the extent the same is required in the project