Analytics Vidhya

Building Next-Generation AI Professionals 🚀

Unlocking knowledge, skills & opportunities through blogs, world-class courses, hackathons & a thriving community.

[Analytics Vidhya @AnalyticsVidhya]

Stop guessing which LLM observability platform your team needs. 🛠️🧠

Get a complete side-by-side breakdown of the Big Three:
🦜 LangSmith - Deepest integration for LangChain/LangGraph stacks.
🪂 Langfuse - The framework-agnostic, fully self-hostable open-source leader.
🔥 Arize Phoenix - Heavyweight ML-grade primitives for evaluation and RAG tracing.

Read the tutorial: https://t.co/JLEI9k0E4b

[Analytics Vidhya @AnalyticsVidhya]

Build autonomous AI agents without managing the infrastructure headache. 🚀🤖

From secure sandboxes to self-improving memory loops, here is your complete guide to getting started with Anthropic's Claude Managed Agents.

Full guide: https://t.co/X4nluSu5ap

#ClaudeAI #Anthropic

[Analytics Vidhya @AnalyticsVidhya]

Want to build a personalized AI that sounds exactly like you?

Join Alessandro Romano at #DataHackSummit to learn how he turned 5 years of Telegram data into a fine-tuned LLM using LoRA.👇

Register here: https://t.co/UJSaYVt0NX

[Analytics Vidhya @AnalyticsVidhya]

Google Gemini App vs. Google AI Studio: What's the difference? 🤔

One is a consumer-friendly assistant for everyday tasks. The other is a developer playground with full configuration control and API access. ⚙️⚡

Choose your tool: https://t.co/JFr8UbWKr9

[Analytics Vidhya @AnalyticsVidhya]

Confused between EC2, SageMaker, and Lambda for your data science workflows?

👉 Free Course on AWS for Data Science: https://t.co/KPGVXRLgUz

[Analytics Vidhya @AnalyticsVidhya]

Ready to build your own AI-powered sales machine using LangGraph? This guide breaks it down step-by-step. Level up your sales game now!

https://t.co/nC7M3KhuOH

[Analytics Vidhya @AnalyticsVidhya]

Key benefit: consistency. Each lead is judged by the same AI standards, eliminating human bias. Plus, scale instantly without adding headcount!

[Analytics Vidhya @AnalyticsVidhya]

AI workflows for sales aren't about replacing reps, but freeing them. Multi-agent systems use dedicated AI for each task: research, qualification, CRM entry = a robust, repeatable pipeline.

[Analytics Vidhya @AnalyticsVidhya]

Imagine your sales team regaining 40% of their time. Possible? Absolutely! Learn how to automate prospect research, lead qualification & CRM updates with AI.

#ArtificialIntelligence

[Analytics Vidhya @AnalyticsVidhya]

Stop automating, start orchestrating. 🚀

🛠️ Check out Analytics Vidhya's deep dive into Claude Opus 4.8 to see how its adaptive thinking, revamped pricing tiers, and "honesty upgrade" stack up for production workflows.

Link: https://t.co/5DP7Ch1iwz

[Analytics Vidhya @AnalyticsVidhya]

Meet the trailblazers shaping the future of intelligence. 🚀🌟

Here are the 25 AI pioneers you need to connect with at DataHack Summit 2026: https://t.co/sUCXQ0DW7s

#DataHackSummit #DHS2026 #AIPioneers #MachineLearning #AnalyticsVidhya

[Analytics Vidhya @AnalyticsVidhya]

Stop treating Machine Learning models like a black box. 🤖⚙️

Master the 3 critical phases of the data workflow using Python:
🔍 Data Exploration
🛠️ Data Munging
📊 Predictive Modeling

Start from scratch here: https://t.co/i1eIHX66Ns

[Analytics Vidhya @AnalyticsVidhya]

AI is evolving fast, but the real impact comes from the people shaping the ecosystem every day. 🚀

Nominations for the AV Luminary Awards 2026 at DataHack Summit 2026 are now open! 🏆

Know someone making a real impact in AI? Nominate them now. 👇
https://t.co/nN5YvYTNSY

[Analytics Vidhya @AnalyticsVidhya]

Want to dramatically slash your PySpark processing time? 🧠

🚀From filtering data early to switching to columnar formats like Parquet, here are 12 production-ready optimization techniques to make your Spark jobs run faster and cheaper.

Check it out: https://t.co/hiOqFzZD2F

#DataEngineering #ApacheSpark #PySpark #BigData #Python #AnalyticsVidhya

[Analytics Vidhya @AnalyticsVidhya]

Shift from manual chat loops to autonomous workflows. 🚀

Check out this hands-on guide by Analytics Vidhya to discover 10 everyday tasks you can automate right now using n8n templates. Build your first workflow and get your time back. 🛠️

Link: https://t.co/goFmliNR7k

#AI #Automation #n8n #NoCode #Productivity #AnalyticsVidhya #ArtificialIntelligence

[Analytics Vidhya @AnalyticsVidhya]

Better signals. Smarter agents. Accessible optimization. 🚀

3 sessions that will change how you think about AI-driven decisions.

⚡ The Rarer the Signal, the Higher the Tax by Hardik Meisheri
🔗 https://t.co/gZhLgpHO9R

⚡ Bootstrapping Agentic Behaviour by Harshad Khadilkar
🔗 https://t.co/MYUHLzIs3Q

⚡ Democratizing Optimization for All: A Co-Pilot for Decision Making by Mayank Baranwal
🔗 https://t.co/AZ041p1VhR

[Analytics Vidhya @AnalyticsVidhya]

Say goodbye to single-file coding prompts. Google’s flagship Antigravity 2.0 ecosystem has dropped:

🚀 Standalone Desktop App for multi-agent coordination
⚙️ New Antigravity CLI written from scratch in Go
🛠️ SDK for embedded custom agent infrastructure
⚡ Default integration with Gemini 3.5 Flash

Learn how to get started and build an app from scratch: https://t.co/HsJd0jvOaI

[Analytics Vidhya @AnalyticsVidhya]

Stop waiting for invite-only AI workspaces. You can build your own autonomous browser agent for free right now. 🛠️🌐

By connecting Claude Desktop with Playwright MCP, Claude moves beyond chatting to click, type, fill forms, and scrape web data completely on its own.

Learn how to set it up step-by-step: https://t.co/H3aK8J3XK0

[Analytics Vidhya @AnalyticsVidhya]

If AI Agents & Orchestration is your domain, DataHack Summit 2026 has a full track built for you 👇

📌 LLM vs SLM: Building and Evaluating Agentic and RAG Systems by Sanathraj Narayan
🔗 https://t.co/2mSo2IUKA8
📌 Keeping Eyes on Your Agents by Dr. Aditya Bhattacharya
🔗 https://t.co/dL4vp1PMQz

📌 Workflows, Agents, and Everything In Between by Manu Joseph
🔗 https://t.co/uLOsPrJdHr

📌 Harness Engineering for Enterprise AI Agents by Abhishek Kumar
🔗 https://t.co/sQheacM0VF

#DataHackSummit2026 #DHS2026 #AIAgents #AgenticAI

[Analytics Vidhya @AnalyticsVidhya]

Familiarity, single-machine speed, or SQL-first architecture? 🛠️

Choose the right local data tool for your stack:
→ Use pandas for ML compatibility & exploration.
→ Use Polars for fast DataFrame processing.
→ Use DuckDB for SQL-heavy analytics over large files.

Full breakdown: https://t.co/mMZgLEkQ4f