Mervin Praison Courses

Run Your Own AI Employee 24/7 with OpenClaw - 100% Local Setup

2 ratings

Discover how to deploy OpenClaw AI agents locally or in the cloud to automate emails, calendars, and tasks 24/7 through Telegram, WhatsApp, Slack, or Discord with three setup methods.

• YouTube
• 13 minutes
• Self-Paced
• Free Video

Cursor 2.0 Complete Guide - Build and Deploy AI Apps with Multi-Agent System

1 rating

Master Cursor 2.0's multi-agent system to build, test, and deploy AI applications automatically using Composer model, TestSprite integration, and cloud deployment tools.

• YouTube
• 16 minutes
• Self-Paced
• Free Video

Anthropic Claude Prompt Caching - A Game Changer for Cost and Latency Reduction

Learn to reduce costs and improve speed with prompt caching in Claude. Explore implementation, practical examples, and comparisons to optimize your AI interactions.

• YouTube
• 10 minutes
• Self-Paced
• Free Video

Creating Synthetic Datasets for Instruction Finetuning with LLaMA and Nemotron

Learn to create synthetic datasets for AI instruction fine-tuning using LLaMA 3.1 and Nemotron 4. Master subtopic generation, question creation, response generation, quality filtering, and dataset uploading to Hugging Face.

• YouTube
• 14 minutes
• Self-Paced
• Free Video

Fine-Tuning and Deploying LLaMA 3.1 on Hugging Face and Ollama

Step-by-step guide to fine-tune LLaMA 3.1 with custom data, save on Hugging Face and Ollama, and deploy for enhanced AI performance tailored to specific business needs.

• YouTube
• 15 minutes
• Self-Paced
• Free Video

Mistral Large 2 vs Llama 3.1 - Coding Test Performance and Capabilities

Comprehensive analysis of Mistral Large 2's capabilities, comparing it to LLaMA 3.1 and GPT-4 in coding, reasoning, and multilingual tasks. Explores integration and practical applications.

• YouTube
• 11 minutes
• Self-Paced
• Free Video

Sciphi Triplex: A Cost-Effective Alternative to Microsoft GraphRAG

Explore Sciphi Triplex: a cost-effective, high-performance alternative to Microsoft's Graph RAG for creating knowledge graphs from unstructured data. Learn setup, implementation, and visualization techniques.

• YouTube
• 11 minutes
• Self-Paced
• Free Video

GraphRAG Advanced: Optimize AI Projects and Reduce Costs

Learn to optimize GraphRAG for AI projects: ingest data, extract info, integrate with Python, create intelligent chatbots, and save costs. Master efficient querying and user-friendly interfaces.

• YouTube
• 13 minutes
• Self-Paced
• Free Video

GraphRAG: The Most Incredible RAG Strategy Revealed

Explore GraphRAG, an advanced retrieval-augmented generation system enhancing AI responses with relevant context. Learn implementation, setup, and advantages over traditional methods.

• YouTube
• 11 minutes
• Self-Paced
• Free Video

Llama Agents - AI Agents as a Service and How It's Different

Explore Llama Agents: transform enterprise data into AI apps, compare with other frameworks, and learn setup, hosting, and integration techniques for production-ready AI solutions.

• YouTube
• 15 minutes
• Self-Paced
• Free Video

The Game Changing Evolution of Synthetic Data Generation - Magpie

Explore Magpie's revolutionary synthetic data generation for AI, automating high-quality training data creation without manual input, enhancing model performance and efficiency.

• YouTube
• 10 minutes
• Self-Paced
• Free Video

Praison AI UI: Creating Automated AI Agents for Work Efficiency

Explore Praison AI UI to create custom AI agents for task automation. Learn integration, agent creation, UI navigation, and real-world applications to boost productivity and streamline workflows.

• YouTube
• 10 minutes
• Self-Paced
• Free Video

The Ultimate Guide to Fine-Tuning Mistral AI Models

Learn to fine-tune Mistral AI models: environment setup, data preparation, job creation, monitoring, model usage, and UI implementation with Gradio. Master custom datasets and Weights & Biases for AI tasks.

• YouTube
• 12 minutes
• Self-Paced
• Free Video

How to Make Your AI Application Highly Scalable - Azure Cloud Deployment Guide

Comprehensive guide to deploying scalable AI applications on Azure Cloud, covering repository setup, containerization, CI/CD, Kubernetes deployment, load balancing, monitoring, and security.

• YouTube
• 10 minutes
• Self-Paced
• Free Video

NVIDIA NIM: Deploying and Integrating Generative AI Models in Applications

Learn to deploy and integrate generative AI models using NVIDIA NIM. Explore vision and text models, create user interfaces, and implement image analysis and chat functionality in your applications.

• YouTube
• 10 minutes
• Self-Paced
• Free Video