The AI and Deep Learning specialization focuses on building and deploying intelligent APIs using OpenAI models and building custom Deep Learning Tensorflow models.
Quarter I
CS-101: Object-Oriented Programming using TypeScript
Duration: 13 Weeks
Course Description:
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.
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Background of JavaScript and How to use JavaScript in Browser
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Fundamentals of JavaScript and Node.js Quiz
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Fundamentals of TypeScript Quiz
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TypeScript Professional Proficiency Quiz
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Git Quiz
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Create Panaverse DAO Syllabus Website
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Create PIAIC Website
Quarter II
W2-201: Developing Planet-Scale Web 2.0 Serverless Cloud Cloud Apps and APIs
using Next.js 13 and CDK for Terraform
Duration: 13 Weeks
Course Description:
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).
Quarter III
$-101: Dollar Making Bootcamp - Full-Stack Template and API Product Development
Duration: 13 Weeks
Course Description:
In this quarter students will learn how to make money and boost exports in the classroom (Earn While You Learn Projects)
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You will be assigned to build a template which we will sell on Theme Forest and Panaverse DAO marketplace. The Panaverse DAO will receive 25% share on the sale of the template which will be used to manage the platform. An additional 15% will be spent on marketing the template. 60% of the revenues will be distributed to the developer through the Panaverse DAO in the form of Panaverse tokens.
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You will be assigned to build APIs for which you will sell subscriptions on the Panaverse DAO Marketplace. The Panaverse DAO will receive 25% share on the sale of the template which will be used to manage the platform. An additional 15% will be spent on marketing the template. 60% of the revenues will be distributed to the developer through the Panaverse DAO in the form of Panaverse tokens.
Quarter IV
AI-351: Developing Planet-Scale Intelligent APIs and Python Programming
Duration: 13 Weeks
Course Description:
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.
Quarter V
AI-361: Deep Learning and MLOps
Duration: 13 Weeks
Course Description:
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.