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Real-World AI Agents

Master Computational Intelligence through case studies, and comprehensive learning paths. From fundamentals to advanced agentic systems.

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Core Content

AI Modules

Explore comprehensive modules organized by learning path levels

Beginner Level

Machine Learning

Comprehensive ML from basics to advanced concepts: classification, regression, clustering, and more. Supervised, unsupervised, and reinforcement learning. Algorithms, model evaluation, and real-world applications.

Inferential Statistics

Learn statistical inference, hypothesis testing, confidence intervals, and sampling theory. Statistical methods for drawing conclusions from data. Essential for data science and ML model evaluation.

Intermediate Level

Neural Networks

Deep dive into artificial neural networks, CNNs, RNNs, and deep learning architectures. From basic perceptrons to transformer architectures. Understand forward propagation, backpropagation, and optimization techniques.

Advanced Level

RAG & Knowledge Workflows

Build retrieval-augmented generation systems for enterprise knowledge management. Vector databases, semantic search, document retrieval, and knowledge graphs. Build AI systems that leverage your data.

Explainable AI (XAI)

Understand how AI makes decisions and learn interpretability techniques for transparent AI. SHAP values, LIME, attention mechanisms, and feature importance. Make AI decisions transparent and trustworthy.

Prompt Engineering

Master the art of crafting effective prompts for large language models and AI systems. Chain-of-thought prompting, few-shot learning, role-based prompting, and context engineering for optimal AI responses.

Agentic AI

Explore autonomous AI systems and intelligent agents that make decisions and take actions independently. Autonomous agents that can perceive, reason, and act in complex environments. Learn about multi-agent systems, reactive planning, and learning agents.

Real-World Impact

Case Studies

In-depth analysis of AI implementations across industries

Latest Updates

Insights & Articles

Stay updated with the latest in AI, ML, and emerging technologies

AI May 2025

The Future of Agentic AI Systems

Exploring how autonomous AI agents are transforming industries and what it means for developers.

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RAG October 2024

Building Production RAG Systems

Best practices for deploying retrieval-augmented generation systems at scale in enterprise environments.

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XAI August 2025

Explainable AI in Healthcare

How interpretable AI models are building trust and enabling adoption in critical healthcare applications.

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About

About Curator

Built by Experience, for New Learners

A tailored learning experience focused on developing strong foundations and advanced understanding of Computational Intelligence with in-depth coverage of Artificial Intelligence, Machine Learning, and Data Science concepts.

Prateek Dutta

Bootstrap Innovator | Sr. AI Professional | AI Research & Publications

A dedicated Data & AI professional with a profound passion for leveraging solutions to tackle complex problems in both industrial and academic settings through AI technique. With a track record of developing and deploying scalable AI-ML models in diverse environments, including startups and large enterprises, I bring a wealth of experience to the table.