Specialized Track
Artificial Intelligence and Deep Learning
The AI and Deep Learning specialization focuses on building and deploying intelligent APIs using OpenAI models and building custom Deep Learning Tensorflow models.
Specialized Track
Artificial Intelligence and Deep Learning
The AI and Deep Learning specialization focuses on building and deploying intelligent APIs using OpenAI models and building custom Deep Learning Tensorflow models.
CS-101: Object-Oriented Programming using TypeScript
W2-201: Developing Planet-Scale Web 2.0 Apps using Next.js 13
$-101: Dollar Making Bootcamp - Full-Stack Template Development
Specialized Courses
AI-351: Developing Planet-Scale Intelligent APIs and Python Programming
AI-361: Deep Learning and MLOps
We will start the program by learning the fundamentals of Object-Oriented programming using JavaScript and TypeScript. We will also understand the latest Web trends i.e. Web 3.0 and Metaverse concepts and try to understand their working from the perspective of the users.
The objective of this course is to teach participants to develop customer-facing planet-scale Websites, Full-Stack Apps and templates, Dashboards, and Muti-Cloud Serverless APIs. By the end of the quarter, the participants will be able to develop and deploy web platforms like Facebook, Shopify, etc. The technologies covered in this course will include Next.js 13, Figma, Tailwind CSS, Chakra UI, tRPC, QraphQL, Prisma, Cockroachdb Serverless (PostgreSQL Compatible), AWS Serverless Technologies, and Cloud Development Kit for Terraform (CDKTF).
In this course, you will be tasked with building APIs and a template to be sold on the Panaverse DAO Marketplace and Theme Forest. The Panaverse DAO will receive 25% of the sale for platform management and an additional 15% for marketing purposes. 60% of the revenues will be distributed to the developer as Panaverse tokens.
Artificial intelligence is the simulation of human intelligence processes by machines, especially computer systems. The AI and Deep Learning Specialization is a foundational program that will aid in your comprehension of deep learning's potential, difficulties, and effects as well as equip you to take part in the creation of cutting-edge AI technology. We will start this course by understanding the fundamentals and use cases for AI and move on to building next-gen intelligent apps using OpenAI's powerful models and Next.js 13. We'll conclude the course by learning about basic programming concepts using Python, such as lists, dictionaries, classes, functions, and loops, and practice writing clean and readable code with exercises for each topic. We'll also learn how to make your programs interactive and how to test your code safely before adding it to a project. It is a fast-paced, thorough introduction to programming with Python 3.10+ that will have you writing programs, solving problems, and making things that work in no time. In this quarter we will also learn Git, the distributed version control system. We will also review Git-based GitHub services.
This course will help you understand the capabilities, challenges, and consequences of deep learning and prepare you to participate in the development of leading-edge AI technology. We will finish the program by learning how to envision, create, and maintain integrated systems that run constantly in production. Production systems must manage constantly changing data, in stark contrast to typical machine learning modeling. The production system must also operate continuously at the lowest possible cost while delivering the highest possible performance.