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10+

Total Courses

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50+

Total Projects

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80+

Hands-On

Learn about QuickCURD Philosophy

We believe in Collective, Unified way for creating Reliant Decisions.

Why CURD Works

  • Collective: Humans bring creativity, intuition, and context, while machines offer scalability, speed, and precision.
  • Unified: Unify different types and formats
  • Reliant: Ensures decisions are based on trustworthy, validated, and up-to-date information.
  • Decisions: The ultimate goal is to make better, faster, and more informed choices.

Example of CURD in Action

Imagine a healthcare scenario:
  • Collective: Doctors and AI systems work together to diagnose diseases.
  • Unified: Patient history, lab results, and imaging data are combined into a single platform.
  • Reliant: The system relies on validated medical research and real-time patient data.
  • Decisions: The result is a personalized treatment plan that improves patient outcomes.

Explore Courses By Category

We take a project-first approach, covering everything from Python basics to Machine Learning, Deep Learning, NLP, and LLMs—including Prompt Engineering, LLM Fine-tuning,RAG, Agentic AI, Deployment, and MLOps—while focusing on real-world use case analysis for practical, industry-applied skills.

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Python & EDA
Power to Explore

Python, Numpy, Pandas, Matplotlib.

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Machine Learning
Power to Predict

Supervised, Unsupervised Algorithms.

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NLP
Power to Extract

NLP, RNN, LSTM, Language Modeling.

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Deep Learning
Power to Optimize

From Neurons to Parameters to Insights.

LLM Intro
Power to Leverage

LLMs & their efficient usage through Prompt Engineering. 

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DL Transformers
Power to Comprehend

LM, Attention, BPE Tokenization, Transformers.

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RAG
Power to Include

Retrieval Augmented Generation & its Variants, Vector Database.

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LLM Finetunning
Power to Customize

Fine Tune LLMs for NLP Usecases.

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Agentic AI
Power to Build

LlamaIndex, Langchain, Autogen and No code tools.

Qualified lessons for students & Professionals

We offer different learning modes to suit your convenience.

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Live Webinars

Live webinars are the best way to clarify doubts on spot and gain conviction in the concepts you're learning. It offers hand on experience online via meeting portals. 

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Offline Courses

We believe face-to-face learning is the best way for students to clarify doubts and build confidence quickly. Contact us for details on offline class locations and batch schedules.

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Online On Demand Courses

We understand that not everyone can attend at a fixed time or location, so we also offer on-demand courses for your convenience.

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Corporate Trainings & Collaborations

We are happy to train your employees or students, either offline or online, at their convenience.

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🚀   Problem-First Approach: The Smart Choice!

We believe in a problem-first, purpose-driven approach to Data Science. AI and IT should be seen as tools designed to solve real-world challenges, not the other way around. We have broken the process down into manageable steps for you.

🔍 The Data Science Process

Every data science project should begin with a business question,often followed by:
  • 📊 Data Collection
  • 📝 Annotation
  • ⚙️ Data Preparation
  • 🤖 Model Training
  • 🧪 Testing & Evaluation
  • 🚀 Deployment & Maintenance

🤔 Why Problem-First?

Many jump into AI first, but why start with technology first? Our Problem-First, AI-Next approach helps you become a problem solver rather than just a tool user. Identify the problem first—then leverage AI as the solution!

    

What Learners Are Saying About Us

Whether you're an employee or a student, we can make a meaningful impact on your career.

Upcoming Blogs

Following are the Upcoming blogs with their publication Dates

EDUCATION

How to Build a RAG system?

RAG stands for Retreival Augmented Generation

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EDUCATION

How to Fine Tune an LLM ?

Finetunning provides you poer to Customize

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EDUCATION

How to build Agents?

Agents can help you with Repetative Task.....

Read More

May the more Power be with you! Subscribe For Updates

We often send QuickCURD infographics, catalogues, Intuitive problem first Design thinking approaches via email.