
Analytics Vidhya
Community for data science, AI, and generative AI professionals.

What is Analytics Vidhya?
Analytics Vidhya is an AI Agents tool. Community for data science, AI, and generative AI professionals. Analytics Vidhya is free to use. It is aimed at data science professionals, ai professionals and generative ai professionals.
Analytics Vidhya is a community for data science, AI, and generative AI professionals. It offers courses, news, blogs, tutorials, and resources. The platform aims to build the next generation of AI professionals.
Built for data science professionals, ai professionals and generative ai professionals.
Key capabilities
Features
AI Professionals
Community Members
Personalised Industry leading programs
Events Organised
Program Enrollments
People Benefited
UpSkill
Engage
Contribute
Experience the Analytics Vidhya Difference
Use cases
- Access data science and AI resources
- Participate in data science and AI events
- Enroll in data science and AI programs
- Upskill in data science and AI
- Discover data science and AI content
- Engage with data science and AI community
Who it's for
- Data Science Professionals
- AI Professionals
- Generative AI Professionals
Pros & cons
Pros
- Free plan available
- Custom/enterprise pricing via sales
Cons
No documented limitations yet.
Pricing
Free.
| Plan | Price |
|---|---|
| Free Courses | Free |
AI models
- Veo 2
- Sora
- Claude Sonnet 3.7
- Gemini 2.5 Pro
- Llama 4
- Mistral Small
- DeepSeek R1
- Qwen 2
- Grok 3
Security & compliance
- Data deletion
As stated on Analytics Vidhya's website — not independently verified by AiByts.
FAQ
What is Analytics Vidhya?
Analytics Vidhya is an AI Agents tool. Community for data science, AI, and generative AI professionals. Analytics Vidhya is a community for data science, AI, and generative AI professionals. It offers courses, news, blogs, tutorials, and resources. The platform aims to build the next generation of AI professionals.
Is Analytics Vidhya free?
Yes, Analytics Vidhya is free to use.
How much does Analytics Vidhya cost?
Analytics Vidhya offers one plan: Free Courses (Free).
Who should use Analytics Vidhya?
Analytics Vidhya is built for data science professionals, ai professionals and generative ai professionals. Common uses: access data science and AI resources, participate in data science and AI events, enroll in data science and AI programs and upskill in data science and AI.
What are the best alternatives to Analytics Vidhya?
Similar tools on AiByts include ModelCap, Plurai, Yasmine Works, Groas and Grok.
Analytics Vidhya news & updates

Gemini 4 Argon Hands-On Review: Capabilities and Performance
Google’s Gemini 4 Argon promises stronger capabilities across creative, analytical, and document-heavy tasks. But how well does it perform in practice? From generating videos and building websites to analyzing data and reconciling conflicting documents, the model offers plenty to explore.
Analytics Vidhya9 min read
OpenAI Decisions API Tutorial for Building Decision Agents
Imagine building an AI agent that has to decide whether a customer complaint needs human intervention, which department should handle a query, or whether a submitted delivery photo is valid. Getting these decisions right matters.
Analytics Vidhya8 min read
LLM Batching Explained: Static vs Dynamic vs Continuous Batching
Imagine four people booking a ride to the same destination. If each person takes a separate taxi, four vehicles make the same trip. But if they travel together in a bus, everyone reaches the destination in a single trip. The bus carries more people at once and makes better use of the resources.
Analytics Vidhya12 min read
How to Design Human-in-the-Loop Checkpoints for Autonomous AI Agents
Autonomous AI agents can read requests, retrieve data, reason through options, and trigger actions in seconds. That speed is useful, but it also creates risk when the next step affects money, customer records, or external systems.
Analytics Vidhya23 min read
EmbeddingGemma 2: Text, Code, Images, Video and Audio in One Vector Space
EmbeddingGemma 2 launched on October 6, 2026 under Apache 2.0. It is a sub-1B model built on Gemma 4 that maps text, code, images, video and audio into one 768-dimensional space. This article covers the architecture, the benchmarks, and runnable scripts to provide measured results.
Analytics Vidhya15 min read
Nano Banana 2.1 Review
Have an idea for a lesson illustration, a project chart, or a comic for your next presentation? Nano Banana 2.1 lets you explore these formats with text prompts, making it easier to try different visual styles without switching between tools.
Analytics Vidhya7 min read
10 Jev Projects on GitHub You Should Check Out
Agents make dozens of small decisions before producing useful output: which source to trust, which tool to call, what context to keep and when to stop. Jev brings those hidden choices into the open by turning them into typed decisions with probabilities, instead of relying on free-form text alone.
Analytics Vidhya8 min read
JEV vs LLM as a Judge: The AI Evaluation Comparison
Many teams now use LLM-as-a-Judge to check AI answers, especially when exact-match tests fail for long or open-ended responses. But every judgement adds cost, delay, and possible bias, making this hard to scale.
Analytics Vidhya26 min read
Building an Enterprise AI Customer Support Platform with Claude Fable 5.1 and Claude Code
Most AI coding demos stop at task managers, weather apps, or simple chatbots. For this project, we take on something more demanding: building an enterprise customer-support platform that can investigate complaints, retrieve relevant policies, recommend resolutions, and keep risky actions behind…
Analytics Vidhya20 min read
Claude Code Custom Commands & Skills: Automate Your Workflow
Every dev team has repeatable setup tasks: spinning up a new project, running a deployment checklist, generating a file structure, or typing the same instructions into Claude again and again.
Analytics Vidhya7 min read
OpenAI Dot: How to Access & Automate Work with OpenAI’s Agent
That is a slightly awkward introduction to OpenAI Dot, but a useful one. In this article I’ll be discussing what this autonomous 24/7 agent (which consumes no usage) can do, what it is, how you can access it (along with its setup), and a live analytics exercise I ran after on Dot.
Analytics Vidhya7 min read
Claude Sonnet 5.5 Review: Faster Agentic Coding & Visual QA
A practical guide to what changed, the benchmarks that matter, the cost controls developers should not miss, and one hands-on demo worth building. Anthropic has just released Claude Sonnet 5.5. It is the middle child of the Claude family, and the one most people will actually use.
Analytics Vidhya9 min read
7 Open-Source Memory GitHub Projects on AI Memory
AI agents can handle large context windows, yet still forget what happened after a session ends. Memory systems close that gap by preserving useful facts, preferences, relationships, and task state, giving agents continuity beyond a single prompt.
Analytics Vidhya6 min read
Sarvam Vision 2.1: The OCR Model Built for the Documents India Actually Has
For the first time, an OCR model reads Indian languages as fluently as English documents. Sarvam Vision 2.1 breaks a long-standing trade-off. Indian businesses had to choose between structural document parsing and script recognition. Never both. Finance teams automating invoices faced this.
Analytics Vidhya8 min read
Agentic Context Engineering (ACE): Self-Improving Language Models
Agentic Context Learning or ACE is a learning paradigm that lets an AI agent improve across tasks by editing the context it reads, while leaving model weights unchanged.
Analytics Vidhya6 min read
10 Solved Generative AI Projects to Boost your Profile
Projects are the bridge between learning and becoming a professional. While theory builds fundamentals, recruiters value candidates who can solve real problems. A strong, diverse portfolio showcases practical skills, technical range, and problem-solving ability.
Analytics Vidhya7 min read
GPT-6 Sol and Luna: Near-Astra Performance at Half the Price?
What happens when a frontier model’s abilities get packed into cheaper, faster versions? That’s what OpenAI did with GPT-6 Sol and GPT-6 Luna, two new models built with methods similar to GPT-6 Astra.
Analytics Vidhya10 min read
Claude Opus 5.5 Tested: What’s New and How Good is it?
What happens when an AI model gets better at reasoning, faster at responding, and cheaper to run at the same time? That is the promise behind Claude Opus 5.5, Anthropic’s latest flagship model and the first release in the Claude 5.5 family. Opus 5.5 brings several notable changes.
Analytics Vidhya9 min read
Details are compiled from Analytics Vidhya's website and public sources, last verified Oct 3, 2026. Features and pricing change — confirm on the official site before you buy.
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Tags
- Data Science
- Generative AI
- Machine Learning
- Data Engineering
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