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# Best Ai Courses In India

Academy of Artificial Intelligence

Artificial Intelligence Applications

Artificial Intelligence (AI) is machine-displayed intelligence that simulates human behavior or thinking and can be trained to solve specific problems. AI is a combination of Machine Learning techniques and Deep Learning. Types of Artificial Intelligence models are trained using vast volumes of data and have the ability to make intelligent decisions.

what should you learn?

Depending on your goals, you may want to:

  • 1. Learn how to use Generative AI, such as ChatGPT and DALL·E, in your applications
  • 2. Build a solid artificial intelligence foundation for the future
  • 3. Understand AI's impact on your career or business
  • 4. Build your own AI from scratch
  • 5. Use state-of-the-art AI research and algorithms

Learn AI From Scratch

97% of business owners expect that ChatGPT will bring about positive changes in at least one area of their business, according to a survey by Forbes Advisor. Moreover, tools like ChatGPT, Midjourney, and Bard are ushering AI into the mainstream. This makes the art and science of AI more relevant than ever before. AI grows in popularity, the technology is discussed in various ways.
Artificial Intelligence is more than just a buzzword; it's a revolutionary technology transforming how we work, live, and interact. With the explosion of data and the need to make sense of it, the demand for AI skills is skyrocketing. There's no better time than now to start learning AI. Below, we’ve created a potential learning plan outlining where to focus your time and efforts if you’re just starting out with AI. We want to make this plan as hands-on and practical as possible, which is why we’ve recommended projects you can work on as you progress.

Offline vs Online Machine Learning

Online learning is well-suited for machine learning systems that continually receive data and require the ability to quickly adapt to dynamic conditions. Online machine learning involves learning from available data as it becomes available. This method updates the learning algorithm's parameters after each training instance, allowing for quick and cost-effective learning steps. There is a field in machine learning called online learning, and it refers to an array of machine learning practices and techniques that learn from a selected source of data provided over time. In online learning methodology, each new batch of data updates the existing machine learning models continuously.

When using offline learning, you start training a machine learning model with a finite amount of data, which could represent a single sample or all available data at that time. Once the model is trained and performs satisfactorily, it can be used to make predictions.

With offline ML, data processing happens locally on a device, based on trained model download on device. Online ML is connected, data processing happens remotely and the model receives a continuous flow of data, often updating as it does so.
If we take all of the above into consideration, it’s safe to conclude that online ML has quickly become one of the most valuable tools/methods for coping with constant advances in the fields of big data, IoT, machine learning, natural language processing, and artificial intelligence.


Artificial Intelligence Specialist Salaries in India

In recent years, the rapid advancements in artificial intelligence (AI) have not only transformed industries and processes, but have also significantly impacted the job market, leading to a surge in demand for skilled AI professionals.
The average salary for Artificial Intelligence Specialist is ₹31,16,760 per year in the India. The average additional cash compensation for a Artificial Intelligence Specialist in the India is ₹7,16,467, with a range from ₹1,93,125 - ₹11,14,403. Salaries estimates are based on 4 salaries submitted anonymously to Glassdoor by Artificial Intelligence Specialist employees in India.
Responsibilities of AI Specialist:

  • 1. Model Creation and Development
  • 2. Client/Customer Interaction
  • 3. API Conversion
  • 4. Task Automation
  • 5. Statistical Analysis and Communication
  • 6. Model Enhancement
  • 7. Adherence to Company Standards


Online courses for creative professionals

Whether you're just starting out or already have some experience, we offer various Creative courses designed to fit your needs. Curated from top educational institutions and industry leaders, our selection of Creative courses aims to provide quality training for everyone—from individual learners seeking personal growth to corporate teams looking to upskill. For those pursuing professional advancement, skill acquisition, or even a new career path, these Creative courses can be a valuable resource. Take the next step in your professional journey and enroll in a Creative course today!

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