Program Features

Applied Artificial Intelligence

One of the most important aspects of learning the course is to be able to pursue careers in that discipline. E&ICT Academy at NIT Warangal is aware of this and wants to ensure creating exciting opportunities for the participants of the program. To ensure the success of its participants, several support services such as resume reviews, portfolio creation on Github, Interview preparation guides are made available. Besides this, our partners will enable job referrals with potential employers. E & ICT Academy takes great pride in the success of its participants!!

Data Hackathons

Experiential Learning is critical to apply various AI/ML techniques. This happens with the simulation of various scenarios in the real world. We conceived 4 real business use cases with obfuscated data to solve problems analytically based on the learnings in the classroom. Each case could be solved in multiple ways….solving these problems in a hackathon model gives participants a competitive way to apply various techniques learned. The hackathon will be ably assisted by our very qualified mentors. At the end of the Hackathons, various methods and approaches will be discussed. The datasets are large and thus needs high-end infrastructure including GPUs which the E&ICT Academy of NIT Warangal provides!!

Residencies

E&ICT Academy of NIT Warangal’s offsite campus at Hyderabad provides state of the art learning facilities for learning and practicing. However, in order to give belongingness to this Top tier institution, the program Inauguration and Valedictory functions will be conducted in NIT Warangal’s campus. The Academy will host 2 residencies during the program to give firsthand experience for the participants the campus life of NIT Warangal. This Academy has a wonderful lecture theatre and state of the art lab facilities. It also gives the participants to explore the Kakatiya glory of Warangal !!

Computing Infrastructure

One of the most important aspects of learning the course is to be able to pursue careers in that discipline. E&ICT Academy at NIT Warangal is aware of this and wants to ensure creating exciting opportunities for the participants of the program. To ensure the success of its participants, several support services such as resume reviews, portfolio creation on Github, Interview preparation guides are made available. Besides this, our partners will enable job referrals with potential employers. E & ICT Academy takes great pride in the success of its participants!!

Alumni Connect

Experiential Learning is critical to apply various AI/ML techniques. This happens with the simulation of various scenarios in the real world. We conceived 4 real business use cases with obfuscated data to solve problems analytically based on the learnings in the classroom. Each case could be solved in multiple ways….solving these problems in a hackathon model gives participants a competitive way to apply various techniques learned. The hackathon will be ably assisted by our very qualified mentors. At the end of the Hackathons, various methods and approaches will be discussed. The datasets are large and thus needs high-end infrastructure including GPUs which the E&ICT Academy of NIT Warangal provides!!

Domain Usecases

E&ICT Academy of NIT Warangal’s offsite campus at Hyderabad provides state of the art learning facilities for learning and practicing. However, in order to give belongingness to this Top tier institution, the program Inauguration and Valedictory functions will be conducted in NIT Warangal’s campus. The Academy will host 2 residencies during the program to give firsthand experience for the participants the campus life of NIT Warangal. This Academy has a wonderful lecture theatre and state of the art lab facilities. It also gives the participants to explore the Kakatiya glory of Warangal.!!

Customer 360

This is one of the most interesting, relatable case studies we have stitched into our program. Most Analytical use cases have drawn from the retail Industry. They addressed the Customer lifecycle in terms of Acquisition, Engaging, Servicing and Retaining the Customers by deeply understanding them. In this case study, we will consider Customer 360 to analyze various aspects related to Churn, Cross/upsell, Recommendations, Lifetime value, etc.,

Loan Approaval System

Loan approvals are laden with payment risk and delinquencies – which has severe financial implication of the credit providers. In this practical case study, we will devise a credit scoring system utilizing variety of alternative data – demographic and past transactional information of Consumers. Some of the problems we will address are not only profiling a specific consumer but also quantifying him for a probable loan amount and a payment term based on his/her propensity to pay as well as the credit he/she capable of assuming. This case study exposes our participants a variety of AI. ML and Statistical techniques that can be used in the real world. The dataset has millions of rows. It also gives participants, a taste of how production level ML is implemented.

Portfolio Optimazation

As a participant of this unique program, you will get to work on the most realistic datasets and practical applications as mini-projects. There are 4 mini-projects in this program besides numerous labs and exercises. This project deals with portfolio optimization. A portfolio is a grouping of financial assets such as stocks, bonds, and cash equivalents. Large portfolios of investors are professionally managed by financial experts at investment banks. A portfolio for an investor often changes with time. These changes include demographic, psychographic, life-cycle, personal events of an Investor. The purpose of this project is to build ML models to optimize the portfolio of an investor by matching their risk appetite with the risk of the stocks that he/she holds.

AI skills on latest platforms

We, at the E&ICT Academy is focussed on building contemporary skills. In this applied AI program, we will use open source tools, lays emphasis on hands-on sessions and work-through examples. At the end of this program, we expect the participants to have a good understanding of the methods, methodologies and techniques and tools that can be put to use immediately. Our participants are exposed to the latest platforms and tools like using Jupyter Notebook, using Neural networks using Keras and Tensorflow, learning various libraries in the python eco-system and packages in the R ecosystem.

Foundation Classes

AI is a field that requires an understanding of statistics and mathematics. It is also imperative a professional who wants to build or transition their careers to AI is familiar with programming. Since, participants joining our program come from different backgrounds, we have devised a foundation program that helps participants understand and assimilate advanced topics of AI and ML which will be covered as part of the Applied AI program. The foundation program is complimentary, but optional to all the registrants of this program. However, we strongly recommend participants to attend these preparatory classes to maximize their learning during the regular sessions.

Certification Process

We are proud to be known as an Institute of repute in India for several decades. We believe in academic excellence and the application of academic knowledge in solving practical problems. Hence, we partnered with Industry to bring out the best of the application practices to our program. Our Certification focuses on the Application aspects of ed AI and driven by a rigorous assessment of the participants’ knowledge, skill and the application of the concepts learned in the class. Our curriculum is vetted by many experts in the Industry!! We would like to mentor professionals who contribute significantly to building exciting AI-based applications!!

Immersive classes in Real-world use cases

The Applied AI program is an immersive course that is extensive focuses on various methods used in Predictive Analytics, Machine Learning, and Neural Networks. It has a fine balance between foundational rigor and practical insights. The business use cases are to meant to give exposure to real-world use of various analytical techniques that are learned in the classroom. The learning outcomes are achieved through the availability of various study materials and reference resources.

AI - Multi-disciplinary field

AI/ML is a multidisciplinary field that draws various techniques from in Statistics, Mathematics and Computer Science. Innate curiosity, ability to ask questions and problem solving are key to becoming a successful AI/ML Practitioner. An AI Professional should feel at ease to build the algorithms necessary, work with various data sources (often in disparate forms) and an innate ability to ask the right questions and find the right answers. They also need to be able to communicate their findings – orally and visually. Our applied AI mentors participants to be skillful in this exploding landscape, provide the perspectives from different points of view; with a particular focus on learning how to apply data science techniques to uncover, enrich, and answer questions facing industries today.

Learn from CAAI Professionals

If you’re passionate about AI & ML and want to pursue a career in this field, there are a lot of avenues for learning. Given the blistering pace of advances in this field, although self- learning is an attractive option, classroom learning enhances the assimilation of knowledge. Hearing from experienced mentors who have ‘been there and done that’ is important in understanding various applications and avoiding pitfalls of just getting knowledge of this exciting field. CAAI Program is just the right program for participants who want to learn developing application using AI and ML.

Certification Process

We are proud to be known as an Institute of repute in India for several decades. We believe in academic excellence and the application of academic knowledge in solving practical problems. Hence, we partnered with Industry to bring out the best of the application practices to our program. Our Certification focuses on the Application aspects of ed AI and driven by a rigorous assessment of the participants’ knowledge, skill and the application of the concepts learned in the class. Our curriculum is vetted by many experts in the Industry!! We would like to mentor professionals who contribute significantly to building exciting AI-based applications!!

NIT Warangal MoU

NIT Warangal (E&ICT Academy) has signed an MoU with ZettaMine Labs to execute its program on Applied Artificial Intelligence. This is a 16 weekend, classroom, full contact program, conducted in Hyderabad. This program is tailored for the practitioners in the Industry who wants to stay current with technological advances and build rewarding careers!!

AIML Preparatory Classes

Pre-requisite knowledge and revisiting some foundational mathematics will help appreciate various ML techniques better. The fields of Linear Algebra, Calculus and basic Statistics will enhance the ability to grasp Machine Learning much faster. It is with that intent, the Academy has created complimentary preparatory work as a part of the program. Revisiting scripting or programming is very helpful because the participants are required to work with datasets as a part of this program. This Course doesn’t assume participants to have a very high level of programming skill. However, it is essential for participants to be comfortable with scripting either in R or Python.

NITW Applied Artifical Intelligence Program

E&ICT Academy endeavors to provide all necessary information and assets to the participants of the CAAI program to enhance the program experience, maximize learning, achieve the program objectives and align real-world examples and applications to simulate various use-cases. 1. Provide resources available for learning AIML 2. Help identify essential resources for preparing for the course 3. Practice on large, real data sets on state of the art computing Infrastructure 4. Clean, Comfortable Classrooms with ambience suitable for learning

Surface Defect Detection

In manufacturing, the finished products are physically inspected for quality issues. Surface defect detection is an interesting application of Deep learning. It has the potential to save the cost of quality by ensuring 100% of the products or goods are inspected through automated means. Many analytical approaches can be adopted for solving this challenging problem such as Machine learning, feature extraction, and neural networks. The dataset based on real-world quality control in a manufacturing unit.

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