Naveenkvisualpath1142
Uploaded on Feb 13, 2026
Category
Education
Advance your AI career with Visualpath’s AI LLM Online Training, built to deliver real-world expertise in large language model applications. Gain practical skills in prompt engineering, model testing, evaluation, and deployment through expert-led projects and guided learning. Our AI LLM Course Online prepare professionals with job-ready capabilities to excel in today’s competitive, AI-driven job market. Call +91-7032290546. Visit: https://www.visualpath.in/ai-llm-course-online.html WhatsApp: https://wa.me/c/917032290546 Blog link: https://visualpathblogs.com/ai-llm-testing/
Category
Education
Best AI LLM Online Training - AI LLM Course Online
LLMS FOR DEVELOPERS: A
PRACTICAL GUIDE
• Understanding practical LLM development
• Real-world implementation focus
• Tools, workflows, and best practices
• Deployment-ready strategies
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INTRODUCTION TO LLMS
• What is a Large Language Model (LLM)?
• How LLMs understand and generate text
• Popular models: GPT, Claude, Gemini
• Why developers should learn LLMs
• Growing demand across industries
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HOW LLMS WORK (DEVELOPER
VIEW)
• Transformer architecture basics
• Tokens and embeddings explained
• Training vs fine-tuning difference
• Inference process overview
• API-based model access
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SETTING UP YOUR FIRST LLM
PROJECT
• Selecting the right LLM provider
• Using APIs and SDKs
• Managing API keys securely
• Sending prompts and handling responses
• Managing rate limits and errors
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PROMPT ENGINEERING
FUNDAMENTALS
• Writing clear and structured prompts
• System vs user instructions
• Zero-shot and few-shot prompting
• Output formatting control
• Reducing hallucinations with constraints
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BUILDING REAL APPLICATIONS
• AI chatbots and assistants
• Code generation tools
• Document summarization systems
• Knowledge-based Q&A systems
• Content automation platforms
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ADVANCED TECHNIQUES
• Fine-tuning custom models
• Retrieval-Augmented Generation (RAG)
• Function calling and tool integration
• Multi-step reasoning workflows
• Conversation memory handling
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DEPLOYMENT & BEST
PRACTICES
• Integrating with web and backend apps
• Scaling using cloud platforms
• Monitoring model outputs
• Optimizing token usage and latency
• Ensuring data security and compliance
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CONTACT
AI LLM
Address:- Flat no: 205, 2nd Floor, Nilgiri Block, Aditya
Enclave, Ameerpet, Hyderabad-1
• Ph. No: +91-7032290546
• Visit: www.visualpath.in
• E-Mail: [email protected]
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THANK YOU
Visit: www.visualpath.in
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