Certified Web 3.0 and Metaverse Developer A One and Quarter Years Panaverse DAO Earn as you Learn Program Consolidating Web 3.0, Metaverse, Artificial Intelligence (AI), Cloud, Edge, Ambient Computing/IoT, Network Automation, and Bioinformatics Technologies
Every participant of the program will start by completing the following three core courses:
Object-Oriented Programming using TypeScript.
Next.js 13 and Cloud Development Kit (CDK).
Full-Stack Template and API Product Development.
After completing the first three quarters the participants will select one or more specializations consisting of two courses each:
This Web 3.0 and Metaverse specialization focuses on developing full-stack Web 3.0 and Metaverse experiences for the next generation of the internet by specializing in building worlds that merge the best of cutting-edge decentralized distributed blockchains with 3D metaverse client experiences
Smart Contracts and Planet-Scale Web 3.0 Dapps.
Planet-Scale Open VR & AR Metaverse Experiences.
The AI and Deep Learning specialization focuses on building and deploying intelligent APIs using OpenAI models and building custom Deep Learning Tensorflow models.
Planet-Scale Intelligent APIs and Python Programming.
Deep Learning and MLOps.
The Cloud-Native Computing Specialization focuses on Containers, Kubernetes, and CDK for Kubernetes.
Kubernetes Application Developer (CKAD).
Multi-Cloud APIs using CDK for Terraform.
The Ambient Computing and IoT Specialization focuses on building Smart Homes, Offices, Factories, and Cities using Voice computing, Matter Protocol, and Embedded Devices.
Ambient Computing with VA & MPD.
Embedded Programming using C and Rust.
Genomics is the study of the total genetic makeup of individual organisms, and how this genetic information is structured, functions, and has evolved; bioinformatics encompasses a diverse range of analytical methods and tools applied to genomic data.
Python for Biologists.
Python for Biologists.
Network automation is now crucial due to new protocols, technologies, delivery models, and the requirement for enterprises to become more adaptable and agile. This course teaches network engineers how to automate systems with code using a variety of technologies and tools, including Linux, Python, APIs, and Git.
CCNA 200-301 Certification.
Network Programmability and Automation.
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