Artificial Intelligence
Artificial Intelligence by Fatin Global
Artificial Intelligence (AI) is an evolving technology that tries to simulate human intelligence using machines. AI encompasses various subfields, including machine learning (ML) and deep learning, which allow systems to learn and adapt in novel ways from training data.
Artificial Intelligence is a branch of computer science dedicated to creating computers and programs that can replicate human thinking. Some AI programs can learn from their past by analyzing complex sets of data and improving their performance without the help of humans to refine their programming.
Machines today can learn from experience, adapt to new inputs, and even perform human-like tasks with help from artificial intelligence (AI). Artificial intelligence examples today, from chess-playing computers to self-driving cars, are heavily based on deep learning and natural language processing.
As the industry takes note of AI’s efficiency and accuracy, it is rapidly implementing automation, chatbots, adaptive intelligence, anti-fraud defences, algorithmic trading and machine learning into financial processes.
Artificial intelligence holds the potential to make a profound impact on the next generation of workforce.
Carrier and Job’s
There are currently 45,000 high in-demand careers, with data scientists and Machine Learning (ML) engineers being among the top roles, a new report has revealed. The report by tech staffing company Team Lease Digital highlights the growing demand for AI professionals who are skilled in scripting languages and capable of developing scalable machine learning models.
Data and ML engineers in India, according to the report, have the potential to earn up to ₹14 lakh per annum, while data architects can earn up to ₹12 lakh. Additionally, candidates with over eight years of experience in these fields can earn even higher salaries ranging between ₹25 lakh and 45 lakh per annum.
The report notes that 37% of organizations are investing in AI learning initiatives to equip their employees with relevant tools to build an AI-ready workforce. It also reveals that 30% of the organizations believe that AI learning initiatives are necessary to unlock the ‘hidden talents in the workforce’.
As many as 56% of the companies surveyed said they were taking necessary steps to bridge the AI demand-supply gap.
These findings highlight the increasing emphasis on AI skills and the growing demand for AI professionals in the Indian job market. Job seekers and workers must upskill in AI and invest in their career growth to remain competitive.
With the technology and business landscape continuing to change at an unprecedented pace, equipping students with industry-ready skills is now of paramount importance.
Artificial Intelligence Training Program
Bidder /OEM is responsible to arrange the Tanning program by certified trainers of Industry as per below mentioned schedule. Under this program University Staff /Teachers will be trained by the industry leader trainers and the trained teachers /staff of university will further have to trained the students.
AI Domains Covered in the Program
- Statistical Data
- Natural Language Processing
- Computer Vision
This 216-hour AI curriculum equips participants with essential skills for industry-oriented AI solutions. The customizable course will be implemented as a standalone program spanning over 4 semesters, supplemented by additional modules provided by participating educational institutions. The participants will also get a chance to work on industry-level problems through simulated apprenticeship.
Awareness (6 hours)
Foundation (57 hours)
Predictive Maintenance
Recommendation System
Viral Post Prediction
Employee Attrition Prediction
Insurance Fraud Detection
Quality Assurance System
2.3 Introduction to Programming using Python (3h)
2.4 Python Functions & Packages (NumPy, Pandas, Scikit Learn) (4h)
2.5 Common Trade Applications of AI Novice Level (24h)
Predictive Maintenance using Linear Regression
Recommendation System using KNN Model Intermediate Level
Viral-Post Prediction using K-Means
Employee Attrition Prediction using Linear Regression Advanced Level
Insurance Fraud Detection using Random Forest
Quality Assurance System using Artificial Neural Network
Experience (129 hours)
Data Import and Processing
AI for Statistical Data Walkthrough
Guided Example: Predicting Loan Approval
Basic Techniques in Computer Vision
From Traditional Computer Vision to AI
Types of Inference Models with OpenVINO and NCS2
Guided Example: Pneumonia Detection
Data Collection & Processing for NLP
Classification for NLP
Creating a Chatbot
Guided Example: Hotel Reception Chatbot
Introduction to Implementing IoT
IoT for improving operational efficiency
IoT for improving customer satisfaction
Working with Intel /AMD RealSense
7ep Neural Network Library
Capstone (24h)
Students will apply their acquired knowledge to solve at least two of the 3 real-world problems. They will use algorithms & libraries of their choice to build their AI solutions (following the AI Project Cycle)
- Solution Building1 Building AI Solution for Health Tech (e.g. Fitness Tracking)
- Solution Building2 Building AI Solution that Helps Companies Predict/Forecast Outcomes (e.g. Price Forecast, Inventory Level)
- Solution Building3 Building AI Solution to Identify Object of Value (e.g. Visual Inspection/ Classification)
Certification after Completing the Program
After the completion of the training program bidder /OEM is responsible for arranging the AI Certified trainers and AI Certified Students certificates with the help of the university.
The certificates will be jointly produced by the top OEM and the University.
Publicity of AI Program and Certification
Bidder /OEM is responsible for providing the publicity of the program on social media platforms to the university as AI Certified University.
