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Professional Data Science & AI with 100% Job Placement Guarantee

Data Science Engineers earn a median salary of 6 LPA

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Meet Our
Grandmasters

Bharani Kumar Depuru

  • Our CEO is visiting faculty and delivers trainings at ISB for students on AI and real world projects
  • Areas of expertise: Data Analytics, Digital Transformation, Industrial Revolution 4.0
  • Over 18+ years of professional experience
  • Trained over 2,500 professionals from eight countries
  • Corporate clients include Deloitte, Hewlett Packard Enterprise, Amazon, TechMahindra, Cummins, Accenture, IBM
  • He has numerous international research publications and patent

Our Alumni Work At

  • 1. Python Introduction
  • 2. SQL
  • 3. Data Science - Preliminaries
  • 3a. CRISP-ML(Q) - Business & Data Understanding
  • 3b. Data Preprocessing
  • 3c. Exploratory Data Analytics (EDA)
  • 3d. Feature Engineering
  • 4. Power BI
  • 5. Data Mining - Unsupervised Learning
  • 5a. Mathematical Foundations
  • 5b. Clustering / Segmentation
  • 5c. Dimension Reduction
  • 5d. Association Rules
  • 5e. Recommender Systems
  • 5f. Network Analytics
  • 5g. Text Mining and Natural Language Processing (NLP)
  • 6. Data Mining - Supervised Learning
  • 6a. Machine Learning
  • 6b. Machine Learning Classifier Technique - Naive Bayes
  • 6c. Machine Learning - KNN Classifier
  • 6d. Confidence Interval
  • 6e. Hypothesis Testing - The ‘4’ Must Know Hypothesis Tests
  • 6f. Supervised Learning – Regression Techniques
  • 6g. Multiple Linear Regression - Predictive Modelling
  • 6h. Logistic Regression Binary Value Prediction, MLE
  • 6i. Lasso and Ridge Regressions
  • 6j. Multinomial and Ordinal Logistic Regression
  • 6k. Advanced Regression for Count Data
  • 6l. Kernel Method - SVM
  • 6m. Survival Analytics
  • 6n. Decision Tree
  • 6o. Ensemble Techniques
  • 7. Forecasting/Time Series
  • 7a. Model-Driven Algorithms
  • 7b. Data-Driven Algorithms
  • 7c. Deep Learning for Time Series New!
  • 8. Generative AI & Transformers New!
  • 9. Prompt Engineering New!
Read More >
  • 1. Black Box method (ANN, CNN, RNN)
  • 1a. Introduction to Perceptron and Multilayer Perceptron
  • 1b. Building Blocks of Neural Network - ANN
  • 1c. Deep Learning Primer
  • 2. Perceptron Algorithm and Back Propagation Neural Network Algorithm
  • 3. Artificial Neural Network (ANN), Multilayer Perceptron (MLP)
  • 4. Convolution Neural Networks - CNN
  • 5. Computer Vision - Self Driving Cars (SDCs)
  • 6. Recurrent Neural Network - RNN
  • 7. CNN + RNN Variants, R-CNN & YOLO Models
  • 8. LSTM & GRUs - Bidirectional & Deep Bidirectional
  • 9. Transformers, BERT, GPT3 & Transformer Variants
  • 10. Autoencoders, Variational Autoencoders, RBM
  • 11. Deep Belief Networks (DBNs)
  • 12. Generative Adversarial Networks - GAN
  • 13. Super Resolution GAN
  • 14. Reinforcement Learning and Q-learning
  • 15. Speech Recognition
  • 16. Automatic Text Generation and Chatbot
  • 17. Auto Artificial intelligence (Auto AI)
  • 18. Explainable Artificial Intelligence (XAI)
  • 19. AutoKeras for Artificial Intelligence
  • 20. Large Language Model (LLM)
  • 21. Generative AI / Diffusion model / Prompt Engineering
  • 21. Generative AI / Diffusion model / Prompt Engineering
  • 23. DALL-E
Read More >
  • 1. Data Visualization Introduction and Concepts
  • 2. Tableau Introduction and Tableau Architecture
  • 3. Exploring Data using Tableau
  • 4. Working with Data using Tableau including Data Extraction and Blending
  • 5. Various Charts in Tableau (Basic to Advanced)
  • 6. Hierarchies - Tableau Drill Down and Roll Up Features
  • 7. Sorting - Quick Sort, Sort from Headers, Legends, Axis, Tool Bar; Sort by Fields, Nested Sort
  • 8. Filtering - Dimension Filters, Measure Filters, Date Filters, Tableau Context Filters
  • 9. Groups, Sets and Combined Sets
  • 10. Reference Lines, Bands and Distribution
  • 11. Parameters - Dynamic Parameters, Parameter Actions
  • 12. Forecasting - Exponential Smoothing Technique
  • 13. Data Mining Unsupervised Learning - Clustering
  • 14. Calculated fields in Tableau, Quick Table Calculations, LOD Expressions
  • 15. Tableau Mapping Features
  • 16. Tableau - R Integration
  • 17. Tableau Interactive Dashboards, Dashboard Actions, Stories
  • 18. Tableau Certification Orientation
Read More >
  • 1. What is Power BI?
  • 2. Transforming Data using Power BI Desktop
  • 3. Data Cardinality and Data Modeling in Power BI Desktop
  • 4. Introduction to DAX
  • 5. Visualizing Your Data
  • 6. Advance Visualization Visualizations
  • 7. Power BI Dashboards
  • 8. Organization Packs, Security - Working with Others
Read More >
  • 1. Diploma in AI New!
  • 2. Certificate from SUNY University New!
  • Our students projects, which they work on got published on International journels.
  • We work on real world live projects and the details of the same are made available on our social media forums after getting client approval.
  • Our students got placed in top notch companies such as Google, Meta, Amazon, Walmart, etc.
  • Our students got placed in all the Big 4 companies - Deloitte, PwC, KPMG, E&Y (not one per company, many per company).
  • Our students got placed in almost all the Indian service based MNCs such as Infosys, TCS, Wipro, Capgemini, Cognizant, HCL, etc.
ChatGPT integration

The client is a startup operating in the healthcare sector, with a focus on offering health-related services or information through their website. The primary business problem faced by the client is the stagnation in the number of unique visitors to their website. The website is a crucial platform for their healthcare services, and the lack of traffic growth is hindering their ability to reach a broader audience.

Text to Voice and Voice to Text Language Translation

The client is a startup operating in the healthcare sector, with a focus on offering health-related services or information through their website. The primary business problem faced by the client is the stagnation in the number of unique visitors to their website. The website is a crucial platform for their healthcare services, and the lack of traffic growth is hindering their ability to reach a broader audience.

Cement Demand Forecasting

The client is one of the leading cement manufacturing companies in France, responsible for producing and distributing cement products to construction projects and clients across the region. The primary business problem faced by the client is the inefficient distribution of cement bags. Cement bags are stored in varying quantities across different locations, and there's often a mismatch between inventory levels and demand. This leads to increased transportation costs and delays in delivering cement to high-demand construction sites, resulting in customer dissatisfaction.

Anti Money Laundering

The client is facing a significant challenge with a high number of unnoticed fraudulent transactions, resulting in financial losses to the organization. These fraudulent activities can damage the client's reputation and financial stability. The objective of the project is to minimize fraudulent transactions effectively, thereby reducing financial losses and protecting the organization from fraudsters.

Bird Detection and Tracking for Healthcare Monitoring

The client is one of the leading poultry services providers in India, involved in various aspects of the poultry industry, including the rearing and distribution of birds. This project focuses on optimizing the tracking of poultry birds and the associated weight measurements. The objective is to reduce the manual effort required in this process and improve efficiency.

Forecasting Inventory of Steel Rods

This project aims to address the underutilization of steel rod offcuts within the company, which are currently being sold as scrap, resulting in significant revenue loss. The primary business objective is to maximize the utilization of these offcuts and reduce the need to sell them as scrap. This will not only contribute to increased revenue but also align with sustainable practices in the steel manufacturing industry. To achieve this objective, the project focuses on minimizing manual calculations involved in utilizing offcuts from the inventory. By implementing machine learning algorithms and automation, we aim to significantly reduce the reliance on manual processes, enhancing operational efficiency and accuracy.

Egg counting

A leading poultry services company in India is challenged by the labor-intensive process of manually distinguishing between brown and white eggs, impacting their operational efficiency. The core business problem is the manual egg counting process. The solution aims to reduce manual effort and enhance efficiency while maintaining cost-effectiveness. This project offers an opportunity to streamline operations and improve cost efficiency for the company.

360DigiTMG Certificate
SUNY Certificate
Innodatatics Certificate
NASSCOM FutureSkills Prime Certificate

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INR 120000+Tax 85,000+Tax

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  • Live online classes - weekends & weekdays
  • 365 days of access to online classes
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  • 40+ live hours of industry masterclasses from leading academicians and faculty from FT top 20 universities
  • Career support services

INR 120000+Tax 80,000+Tax

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