Generative AI

Executive Courses
Last updated 06/2024
About Course

Generative AI is the name for computer programmes that can make new information or material that looks like cases from the real world. It can be writing, pictures, music, video, code, and even other types of media. The word "generative" means that these AI systems can make new things that didn't exist before, instead of just looking at or handling data that already exists.

These systems learn how to do the job they were made to do by looking at a huge amount of data. Generative AI models learn the patterns, structures, and features of data by training on these datasets. This lets them make new cases that are similar to the ones they were taught on. Neural networks, especially deep learning models like Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs), are at the cutting edge of this technology. This process uses a lot of complicated methods and models.

Generative AI can be used for many things, such as, but not limited to:

1. Content Creation: Making actual pictures, videos, or audio clips that can be used in advertising, media, and fun.
2. Text Generation: Making text that makes sense and fits the situation for robots, content creation tools, and language translation services.
3. Design and Modelling: Coming up with new designs for building, fashion, and product development by suggesting new and better designs.
4. Training, predicting, and making decisions: creating data to model different situations for training, planning, and making decisions in areas like healthcare, finance, and urban planning.

Generative AI makes it harder to tell the difference between content made by humans and content made by machines. This brings up important questions about ethics, copyright, and validity. A big part of making and using creative AI technologies is making sure they are used responsibly and dealing with these problems.

Why Generative AI?

An Advanced Certification Programme in Generative AI is a full-fledged certificate programme that lasts between 3 and 12 months. It leads to a world where computers can see patterns, copy them, and come up with new, creative results that are beyond what people can imagine. "Generative AI" is a type of AI that is based on the idea that computers can learn patterns from data and then use those patterns to make new, original material.

Things like pictures, songs, words, and even whole virtual worlds can be used as this. Generative AI systems can act on their own, which can lead to results that have never been seen before. This is different from traditional AI systems, which have to follow strict rules. This show gives you a taste of how Generative AI works. It displays the rules, neural networks, and patterns that make it possible for computers to help people come up with new ideas.

People who take the Advanced Certificate Programme in Generative AI will learn a lot about this cutting-edge field and be able to do advanced work with it. So that all of the trainees have the skills they need, the first part of the programme goes over the basics of neuroscience and machine learning. Users learn more about Generative AI as the course goes on. They learn about autoencoders, GANS (Generative Adversarial Networks), VAES (Variational Autoencoders), and more.

Things that happen in the real world are what the show is about. People don't just idly take in knowledge; they also put it to use. People can try out the tools and methods that make up Generative AI through real-world case studies and hands-on projects. Not only does this help people understand Generative AI better, but it also helps them create the creativity they need to use it to its best.

A group of experienced professors and business experts who have made big steps forward in Al and Generative AI run the programme. With their help, the players not only understand the theory, but also the trends and problems in the business. Regular meetings, feedback sessions, and chances to work with a guide make learning more fun and give people a chance to ask questions and find out more.

Key Highlights of Generative AI

  • Take lessons that use the newest developments in Generative AI to stay ahead of the curve.
  • You will be much better at what you do if you learn how to use more than 10 Generative AI tools.
  • Project-based learning is a great way to learn how to use what you've learned in real life.
  • Do at least six full Generative AI projects from beginning to end to get better.
  • You can get a known Generative AI award that shows how good you are if you finish the programme.
  • Through certain seminars, you can learn from Gen Al industry stars and get a better sense of the field.
  • There is more than 120 hours of content that will help you learn more about Generative AI.
  • Get free Python lessons to make sure you can learn quickly and easily.
  • Student help robot Budd-E is available 24 hours a day, seven days a week.
  • You can join a prestigious network as a graduate. This network will help you make connections and work together for the rest of your life.
  • It's suggested that you learn for 14 to 16 hours a week. This gives you time to do other things.

Generative AI Course Syllabus

The lessons in this Generative AI certification programme are meant to teach you everything you need to know about the technology, from just how it works to more complex applications.

Check out the world of cutting edge tech and learn how it can be used to make businesses better, art more interesting, and people solve problems in new ways. These are some of the things that this programme talks about.

Future Developments in Generative AI Create Mr.HelMate AI: A customer-facing chatbox that answers questions by scanning the organisation's custom data
Create ShrewdNews AI: Automate News Recommendations using GPT3 and Copilot-Powered Machine Learning Python for Data Science and Pandas: Working with relational databases, Data Cleaning, Preprocessing, Analysis
Python Data Types, Variables, Operators, Data Structures Scale Mr.HelpMate AI using Azure OpenAI services
SemanticsSpotter: Use LangChain to create a chat-based knowledge retrieval system that answers questions by scanning multiple sources of data Create PixelCraft AI to generate high-quality images for a large product portfolio to fast-track business digitisation
Create ShopAssisAI: An Automated Conversational Bot that helps customers discover products on an e-commerce website Introduction to Python and Programming


Generative AI Eligibility

People who want to apply for the Advanced Certificate Programme in Generative AI must meet these conditions:

  • The candidate must have a bachelor's degree from a well-known college or university.
  • If you want to show that you know how to code and programme, do it at school or on the job.
  • The person applying must know a lot about ChatGPT, Generative AI tools, and how they can be used in real life. This means that you need to know how to programme at the very least.

The programme can last anywhere from 3 to 12 months, depending on the student. This open plan makes sure that students can study while also taking care of personal and work responsibilities.

Generative AI Academic Fees

Members can choose the right fee level for them based on their funds, which ranges from 50,000 to 1 lakh INR. This makes sure that lots of people can learn about Generative AI. Al wants you to use your mind, but don't give up on a good education. Come with us.

Generative AI Admission Procedure

The Advanced Certificate Programme in Generative AI is easy to start. All you have to do is take three easy steps. This will make sure you have a smooth start to this learning process that will change your life. First, make sure that all of the information on your application is true. Once your application is confirmed, our hardworking team will send you an offer letter that makes your entry official. You will be selected as one of the best applicants.

To make sure you have a seat in the class, you must pay the minimum block amount. Our network of known loan partners is here to help you get money if you need it. This is an extra service we offer. Come learn with us about Generative AI and dive into the artistic and cutting edge world of artificial intelligence.

Job Opportunities For Generative AI

Getting an Advanced Certificate in Generative AI can lead to a lot of different jobs. Generative AI is used in many fields, so companies that want to bring new ideas to areas like art, design, technology, and healthcare will value what you know about it. Here are some jobs that you might be able to get after getting these certificates.

Entrepreneur Research Scientist
UX Designer Creative Technologist
AI Developer Innovation Strategist
Data Scientist Content Creator
Game Developer Generative Artist


Top Recruiters for Generative AI

Some of the best tech companies, new startups, creative firms, and businesses all over the world want to hire people who have graduated from the Advanced Certificate Programme in Generative AI. People who know how important Generative AI skills are are hired by top companies like Google, Microsoft, Adobe, NVIDIA, and more.


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