AI • GenAI • Machine Learning • Data Science

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Master Python, Machine Learning, Generative AI, SQL, and Data Science through practical tutorials and real-world applications.

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Industry-focused programs with live sessions, projects, interview preparation, and lifetime access. Click any card to view the full syllabus, or purchase directly using the Buy Now button.

Featured Projects

Build Real AI Applications

Learn by building portfolio-ready projects that mirror real industry workflows in Machine Learning, Generative AI, Analytics, and Computer Vision.

GenAI

RAG Knowledge Assistant

Build a production-style Retrieval-Augmented Generation system using embeddings, vector databases, chunking, prompt engineering, and semantic search.

EmbeddingsVector DBLLMsRAG
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Machine Learning

ML Analytics Dashboard

End-to-end machine learning project with data preprocessing, feature engineering, model training, evaluation metrics, and interactive business dashboards.

PandasScikit-learnPower BIVisualization
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Computer Vision

Object Detection System

Build a YOLO-based object detection pipeline with real-time inference, tracking, performance optimization, and deployment-ready architecture.

YOLOOpenCVDetectionDeployment
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LLM

AI Agent Workspace

Create autonomous AI agents that can reason, use tools, maintain memory, automate workflows, and interact with external APIs.

AgentsToolsMemoryAutomation
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Why VrikshAI

Learn The Way The Industry Works

VrikshAI is built around a simple idea: AI should be learned by building real products, solving real problems, and developing the skills that companies actually hire for.

Learning Philosophy

01

Strong Foundations

Master Python, SQL, mathematics, and core programming concepts before jumping into advanced AI.

02

Build Real Projects

Every concept is reinforced through portfolio-ready projects using real datasets and industry workflows.

03

Think Like A Data Scientist

Focus on problem solving, experimentation, debugging, and model evaluation rather than memorizing syntax.

04

Become Industry Ready

Prepare for interviews, deployments, case studies, and modern AI tools including LLMs and RAG systems.

What You’ll Learn

  • • Python & SQL from scratch
  • • Machine Learning end-to-end
  • • Generative AI & RAG systems
  • • Portfolio & interview preparation
  • • Industry-level project development

Founding Team

RR

R.R

Data Scientist • AI Trainer • Founder of VrikshAI

I created VrikshAI to bridge the gap between academic learning and real-world AI development. The goal is to help students and professionals become confident builders, not just certificate collectors.

PT

P.K.T

Data Scientist • Co-founder of VrikshAI

Pavan focuses on applied machine learning, scalable AI systems, and data-driven product development. Together we are building VrikshAI as a practical learning platform where students learn by creating real AI applications.

4+
Years Experience
50+
AI Tutorials
20+
Projects Built
100%
Practical Learning

Latest Articles

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In-depth tutorials, AI engineering guides, interview preparation, and practical machine learning content written for students and professionals.

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FeaturedGenerative AI12 min read

Build Your First RAG Chatbot Using Python and OpenAI

Learn how Retrieval-Augmented Generation works from scratch by building a production-style chatbot with embeddings, vector databases, semantic search, and prompt engineering.

Rohit Rahangdale

Founder, VrikshAI

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Machine Learning8 min read

Bias-Variance Tradeoff Explained Visually

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10 Python Tricks Every Data Scientist Should Know

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Window Functions That Appear In Real Interviews

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Get practical tutorials, interview questions, project ideas, and AI engineering insights delivered every week.

Start Your AI Journey Today

Learn Python, Machine Learning, SQL, Power BI, and Generative AI through structured roadmaps and real-world projects built for students and professionals.

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A practical AI learning platform focused on Python, Machine Learning, SQL, Power BI, and Generative AI through real-world projects and industry-ready roadmaps.

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