Generative AI has been buzzing all around us for the last couple of years. As per a Salesforce report, 27% Millennial's, 28% Gen X, and 29% Gen Z are actively using Generative AI tools to carry out their professional work. As more organizations and individuals are realizing the benefits of Gen AI, a surge in its utilization and demand has come forth. Hence, those who learn Generative AI in 2024 will experience an enhanced amount of benefit in the coming years. This blog will give you a complete roadmap to become a Generative AI expert, beginning with what is Generative AI.
Let's understand- What is Generative AI? Generative AI falls in the umbrella term of artificial intelligence, as it makes use of large language models (LLMs) and advanced deep learning models.
Gen AI has become an integral go-to for generating top-notch and unique content such as images, text, music, codes, speech, product design, etc.
Gen AI is basically models that learn from the already-existing facts, leading to generation of new and realistic outputs, all by reading and learning from provided data sets. Various different techniques are incorporated to keep up the pace and act of evolution.
In our everyday lives, Gen AI is enabled to create content even by reading natural language requests. Hence, knowledge or need of entering code is not there. There are also plenty of enterprise use cases, leading to incredible innovations in material science development, drug and chip design, healthcare, and others. This is certainly the technology of the future, which is paving the way for other technologies too.
Since Generative AI is an expanding technology, it comes as no surprise that you want to make your career in this field. With big corporations already investing millions of dollars to make this technology a part of their working, the time is not far when they would want experts to be on the team too.
Preparing today will lead you to experience a great tomorrow, and that is why we are here to help you with this roadmap to learn Generative AI.
Since this is still blooming, the best way to learn would be to enroll in a Generative AI training. With a Generative AI course, you will be get to learn about this emerging technology from those who have hands-on experience in this field. That said, here is how to learn Generative AI.
One of the key aspects of Generative AI is Machine Learning and thus, you must have an in-depth understanding of ML, along with its applications. Having experience in handling ML techniques and algorithms will help you. The key topics to explore are unsupervised and supervised learning algorithms such as random forests, linear regression, k means, logistic regression, etc.
The one programming language preferred by the entire machine learning and artificial intelligence community is Python. Hence, to learn ML models and get started with gen AI, you must gain proficiency in Python. It would be great to acquaint yourself with Python's data structures, libraries (TensorFlow, Pandas, NumPy, etc.), syntax, and their applications in ML.
The next integral step on this roadmap to get closer to your goal is to tap into the fields of data science and deep learning. It is important to begin by learning visualization techniques, feature engineering, and data preprocessing, all of which is important to handle and understand complex datasets.
Learn more about recurrent neural networks (RNN), convolutional neural networks (CNN), neural networks, and other deep learning (DL) architectures such as GNNs, Transformers, etc. To understand Generative AI models, understanding their application in neutral language processing, sequential data analysis, and image generation is important.
Now that you have understood the key concepts, it's time to explore Generative AI tools, models and foundational concepts. It has diverse applications, including style transfer, text-to-image synthesis, image generation, etc. and exploring them all will lead you towards excellence. Learn the underlying principles of Variational Autoencoders (VAEs), Generative Adversarial Networks (GANs), and more prominent Gen AI models.
Theoretical knowledge can only take you so far. If you truly wish to succeed, you must get your hands dirty and work on projects and challenges that broaden your horizon. You can begin by creating Generative AI models for synthesizing images, producing music, or generating art. There are endless options depending upon your creativity.
You can also experiment with existing datasets or tweak them to better understand their limitations and behavior. Platforms such as Kaggle, ProjectPro, open-source repositories, and GitHub provide a plethora of project ideas and datasets for implementing and showcasing your skills.
Collaborating and networking with the community is one of the most often overlooked aspects of learning Generative AI. However, it is also a highly valuable one and thus, should be something you do not miss. You can join online forums, engage with the Gen AI community, and participate in discussion groups. Collaborate on projects, share insights and learnings, and seek guidance from peers.
Community engagement is not only a great way to stay connected, but also keeps you on your toes about the latest techniques, advancements, and trends in gen AI.
What Is The Future of Generative AI?
Generative AI is estimated to reach a value of $151.9 billion USD by 2032, as per a report shared by market.us. This means a CADR of 31.4% from 2023 to 2033.
When you choose the path of Generative AI, you choose to stay creative and take challenges head-on. Since this field is still growing and changing at a rapid rate, you will have to keep updating yourself too. While there is no one particular Generative AI certification, a good course will provide you with enough skills and knowledge to get a job in the field. Learn Generative AI in 2024 following this roadmap.
Ans- The best Generative AI tools today include GPT-4, AlphaCode, Bard, ChatGPT, Claude, and GitHub Copilot.
Ans- The best place to study Generative AI is through a course offered by a leading learning platform. This is where you can be certain to get trained by the best.
Ans- It can take anywhere between 4-8 weeks to learn Generative AI. However, to become the best, you must work on it regularly.
Course Schedule
| Course Name | Batch Type | Details |
| Generative AI Training | Every Weekday | View Details |
| Generative AI Training | Every Weekend | View Details |
