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# Ai Ml Career At Ahmedabad

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.

Machine Learning Applications

The broad range of techniques ML encompasses enables software applications to improve their performance over time. Machine learning algorithms are trained to find relationships and patterns in data. While machine learning is a powerful tool for solving problems, improving business operations and automating tasks, it's also a complex and challenging technology, requiring deep expertise and significant resources.

Unlock a multitude of career pathways

By equipping yourself with the skills taught in our course, you unlock a multitude of career pathways:

  • 1. Data Scientist/Analyst: Analyzing complex data sets to extract valuable insights.
  • 2. Machine Learning Engineer: Building and deploying predictive models and algorithms.
  • 3. AI Researcher: Innovating and pushing the boundaries of AI technologies.
  • 4. AI Ethics Specialist: Addressing ethical considerations in AI development and deployment.
  • 5. AI Product Manager: Overseeing the development of AI-powered products and services.

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

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