Generative AI Learning Roadmap 2025 | Topics Overview

🚀 Day 10 - Agent Playground | Build, Test & Optimize Intelligent Agents with Agno Framework

🚀 Day 09 - AI-Powered Thai Cuisine Chatbot using Agno Agentic Framework

🚀 Qwen2.5-Max CRUSHES DeepSeek V3 & GPT-4o ! The NEW AI King? 👑

🚀 Day 08 - Agent with Knowledge Using Agno Agentic Framework

🚀 Day 07 : Multi-Agent Teams Using Agno Agentic Framework – Build Your Own Financial Agent

🚀 Day 06 AI News Reporter: AI-Powered News Generation with Agno Framework & Streamlit

🚀 Day 05 Agno AI Agents: Intelligent Tools for Autonomous Task Execution

🚀 Day 04 - Phidata Rebrands as Agno: A New Framework for Building AGI with Agent-Based Systems

DeepSeek-R1: The New ChatGPT Competitor Explained in Under 30 Minutes

🚀Day 03 - Browser-Use Web UI : The Simplest Web UI for AI-Powered Automation! 🌐🔥

🚀Day 02 : Introduction to Browser-Use | The Easiest Way to Connect AI Agents with the Web! 🌐

🚀 Day 01 : AI Agent Workflow Explained | How AI Agents Perceive, Think & Act! 🤖

🚀 Prerequisites & Software Setup for Agentic AI Course | Step-by-Step Guide 🔥

🚀 Master Agentic AI in 2025 | The Ultimate Learning Roadmap!

Day 05: Understanding Infer Signature in MLflow with Practical Implementation

Day 04 : MLflow Model Registry Explained | MLOps Tutorial Series 🚀

Day 03: MLflow Tutorial - Log Parameters, Metrics, and Models for Experiment Tracking

Day 02 : MLflow Setup Locally & Tracking Server | MLOps Tutorial Series 🚀

Day 01: ML Lifecycle & MLflow Introduction | MLOps Tutorial Series 🚀

Mastering MLOps: A Complete Beginner to Advanced Course 🚀 | MLOps Tutorial Series

Day 33 : Mastering LLM Evaluation Metrics | How to Evaluate Language Models

Day 32: Build an Image Captioning App with Python, FastAPI, and Streamlit

Day 31: Image to Text Generation | Image Captioning

Day 30: Building an AI Image Generator | Project | DataSciLearn

Day 29: Stable Diffusion Practical | Text To Image Generation

Day 28 : Introduction to Stable Diffusion(Text to Image)

Day 27: Practical Implementation Fine Tuning Custom Data With Google Gemma Model

Important News: MLOps Playlist on the Way – Help Us Reach 2K!

Day 26 : Fine-Tuning Large Language Models (LLMs) | LORA, QLORA & Quantization Explained

Day 25 : RAG vs Fine-Tuning Explained with Real Use Case

Day 24 : Deploy Your Podcast Chat App To Render Free

Day 23 : Building a Podcast Chat App using Whisper and RAG | Part 3

Day 22 : Building a Podcast Chat App using Whisper and RAG | Part 2

Day 21 : Building a Podcast Chat App using Whisper and RAG | Project Setup

Day 20 : Speech to text using Whisper Large Model | Transcribe Audio Files with Groq API

Day 19 : How to Use Groq with Open Source LLMs | Fastest AI Inference Tutorial

Day 18 : How to Use Pinecone Vector Database with Langchain | PDF Search Example

Day 17: Vector Database ChromaDB in Langchain | Generative AI Course

Day 16 : How to Use Faiss for Fast Document Search in Langchain

Day 15 : Faiss with Langchain | Introduction & Setup | Similarity Search

Day 14 What Are Embeddings? | LangChain Embeddings with Google & Ollama Models | DataSciLearn

Day 128 : Twitter Sentiment Analysis | Complete End-to-End Project Tutorial

Day 13: Mastering Text Splitting Techniques | Generative AI Master from Scratch

Day 12: Data Ingestion with Document Loaders | Generative AI Master from Scratch

Day 11: Introduction to Retrieval-Augmented Generation (RAG) & Key Components | Generative AI Master

Day 10: Building File Q&A Gen Application using Streamlit | Generative AI Master from Scratch

Day 09: Working with Audio and Video in Streamlit | Generative AI Master from Scratch

Day 08: Streamlit with Python for AI Applications | Generative AI Course

Day 07: Building a Simple Chatbot with Langchain & Streamlit | Generative AI Master from Scratch

Day 06: Important Components of Langchain | Generative AI Master from Scratch

Day 05: Langchain Implementation with LLM Models - Anthropic, Gemini, Ollama & HuggingFace

Day 04: Introduction to Langchain | Generative AI Master from Scratch

Day 03: LLM Model Setup - Paid vs. Open Source | Generative AI Master from Scratch

Day 02: Introduction to Large Language Models (LLM) | Generative AI Master from Scratch

Day 01: Introduction to Generative AI | Generative AI Master from Scratch

Generative AI Master from Scratch - Course Introduction | Learn AI with DataSciLearn

Day 127: Spark Introduction & PySpark Implementation

Day 126: Introduction to Big Data & Hadoop | Data Engineering | DataSciLearn

Important Update: Why I Haven't Uploaded Videos in 3 Weeks | Course Resumption Plan