Machine Learning & AI Course in Pune

Today, more than ever, businesses realize the importance of Machine Learning and Artificial intelligence to stay ahead in the cut-throat competitive market. By leveraging AI and ML technologies, businesses are diving deep into data to achieve their core goals, gain actionable insights, foster data-driven decisions, boost cost-efficiency, increase ROI, and most importantly, to create innovative products/services to cater to the specific tastes of their customer groups.

Here a few ways in which ML and AI applications are helping businesses grow:

As for the future and scope of Machine Learning & AI, there are predictions that by 2020, AI will generate around 2.3 million job opportunities. According to another report, by the end of 2022, the global ML industry will stand at USD 9 billion, growing at an incredible CAGR of 42%. Although the adoption of AI and ML are at a nascent stage in India, essential steps are being taken to boost the AI and ML foothold in India.

The path to becoming a Machine Learning Engineer is pretty straightforward:

Pune’s fast-growing industries and the emerging startup culture is creating an urgent need for qualified Machine Learning & AI professionals. However, the demand for ML and AI professionals far exceeds their supply. This is where Machine Learning & AI courses can make a significant change. These courses focus on teaching students/professionals the basic and advanced concepts of Machine Learning, Deep Learning, and Neural Networks, while also teaching them about the business applications and benefits of these technologies. Machine Learning & AI courses in Pune are available in all expertise levels - beginner, intermediate, and expert. So, candidates can choose accordingly.

Machine Learning & AI courses in Pune are well-designed and planned to cover the three core ML methods, namely, supervised, semi-supervised, and unsupervised learning. Apart from basic concepts like data mining, statistical analysis, and signal processing, learners also get to learn various advanced concepts like Neural Networks, Computer Vision, and Statistical/Sequential NLP. The courses also include case studies and real-world assignments to encourage them to gain practical experience in AI and ML. Furthermore, instructors teach candidates how to work with various AI/ML tools and libraries such as NumPy, SciPy, Matplotlib, Tensor Flow, Keras, etc.

Machine Learning & AI Salaries in PuneAs is true of most locations, the salary of Machine Learning & AI professionals in Pune also depends on factors like the company size and reputation, job position, and the candidate’s education, skillset, and work experience.

Generally, the starting salary of an AI/ML fresher in Pune is anywhere between Rs. 2.8-4.5 LPA. The best thing about having a career in Data Science is that the salary scale continues to increase exponentially with experience. After gaining 6-8 years of industry experience, one can earn a paycheck of Rs. 5.5-7 LPA. Professionals having around 10-15 years of experience can make about Rs.30-55 LPA or more.

Machine Learning & AI Career Options in Pune

Pune has a vibrant tech and industrial scenario that creates excellent employment opportunities for qualified and skilled AI/ML professionals. What’s even more interesting is that companies across all sectors of the industry are always on the lookout for certified and experienced AI/ML professionals in Pune. Some of the most trending job positions in AI and ML in Pune include Data Analyst, Business Intelligence Analyst, ML Engineer, Data Engineer, Robotics Engineer, Big Data Architect, Data Scientist, NLP Scientist, and Analytics Manager, to name a few.

Today, we have come to that phase of technological revolution where Artificial Intelligence (AI) is all around us. From automating business operations to assisting the common man in day-to-day life, the applications of AI and Machine Learning (ML) are transforming the world in a way we never imagined before.
While AI is the science that aims to build intelligent machines that can depict human-like cognitive abilities, Machine Learning is a subset of AI that gives shape to this concept of smart machines. It imparts machines (computers) with the ability to learn from data and perform human-specific tasks. The recent surge of interest in AI and ML technologies has given birth to several miraculous applications of Machine Learning and AI.

Top 5 Applications of Machine Learning and AI

1. Smart Personal Assistants
In the past five years, smart personal assistants have become hugely popular. Siri, Alexa, Cortana, Google Assistant, Amazon Echo, Google Home are all examples of virtual assistants.
2. Sentiment Analysis

Sentiment analysis is a real-time ML application that focuses on “opinion mining.” This ML application is designed to analyze and interpret the sentiment, that is, the attitude or opinion of a speaker or a writer. In simple words, it is the process of determining the hidden intent or emotion out of text or spoken words.

3. Video Surveillance
Video files can contain a ton of vital information, in fact, much more than what text and other media files usually contain. Hence, companies are now inclining toward smart video surveillance to detect crime and fraudulent activities even before they can happen.

4. Fraud Detection
In the face of the rising incidence of cybercrimes, it has become essential to track and prevent fraudulent and suspicious activities before they can compromise the company database. Cybercrimes and security breaches often lead to substantial financial and data losses. Thankfully, Machine Learning is helping make cyberspace and online platforms safer and more secure.

5. Chatbots
Chatbots are just like virtual personal assistants. Recently these smart bots have gained immense popularity due to their excellent customer support abilities. Chatbots can interact with customers in real-time and assist them accordingly. They are highly capable of handling customer requests, complaints, and grievances. While chatbots can handle the basic customer support activities and tasks, if need be, they can also escalate to human agents for more complex issues.

Since AI and ML are emerging technologies, they are in a state of constant evolution. With time, these technologies will become more mature and lead to more such exciting applications and innovations.