AI Prompt Engineering Online Live Class by Experts
Our Training/Internship Process
AI Prompt Engineering - Syllabus, Fees & Duration
Introduction
The AI Prompt Engineering course is designed to provide practical knowledge of Generative AI, Large Language Models (LLMs), AI tools, and advanced prompt creation techniques. Students will learn how to design effective prompts, optimize AI responses, automate workflows, and build AI-powered solutions for real-world applications.
Course Syllabus
Month 1: Generative AI & Prompt Engineering Fundamentals
Introduction to Artificial Intelligence
- Introduction to Artificial Intelligence
- History and Evolution of AI
- Types of Artificial Intelligence
- AI Applications in Real World
- Machine Learning and Deep Learning Overview
- Introduction to Generative AI
Large Language Models (LLMs)
- Introduction to Large Language Models
- How AI Language Models Work
- LLM Architecture Basics
- Tokens and Context Windows
- Training and Fine-Tuning Concepts
- Limitations of AI Models
Prompt Engineering Basics
- Introduction to Prompt Engineering
- Importance of Effective Prompt Design
- Prompt Structure and Components
- Writing Clear and Specific Instructions
- Role-Based Prompting
- Instruction-Based Prompting
- Zero-Shot Prompting
- Few-Shot Prompting
Month 2: Advanced Prompt Engineering & AI Applications
Advanced Prompt Techniques
- Chain-of-Thought Prompting
- Context Engineering
- Prompt Optimization Techniques
- Multi-Step Prompt Workflows
- Prompt Testing and Evaluation
- Improving AI Response Quality
AI Tools and Platforms
- ChatGPT Advanced Features
- Google Gemini
- Claude AI
- Microsoft Copilot
- AI Image Generation Tools
- AI Video Generation Tools
- AI Productivity Tools
AI Automation and Integration
- AI Workflow Automation
- AI Content Generation
- AI Marketing Applications
- AI Coding Assistance
- AI Data Analysis
- Chatbot Development Concepts
- AI API Integration Basics
Practical Projects
- AI Chatbot Creation
- AI Content Generator
- AI Resume Builder
- AI Research Assistant
- AI Marketing Assistant
- AI Automation Workflow Project
Tools and Technologies
- ChatGPT
- Google Gemini
- Claude AI
- Microsoft Copilot
- OpenAI API
- Midjourney
- DALL·E
- AI Automation Tools
- Prompt Libraries
- No-Code AI Platforms
This syllabus is not final and can be customized as per needs/updates
- Since 2001, Making IT Experts by Experts
- Duration: 30 Hours (Vary as per your skill)
- Course Fees
- Individual Live Classes (1:1)
- Batch Classes @ Low Fees
- Training on Your Time, Any Where
- Access to Recorded Videos
- Practical Internship on Projects
- 100% Placement Support by our jobsHybrid.com
- Training/Internship Certificate
- Agra
- Ahmedabad
- Alappuzha
- Aurangabad
- Bangalore
- Belgaum
- Bellary
- Bhubaneswar
- Chennai
- Cochin
- Coimbatore
- Delhi
- Dindigul
- Erode
- Gulbarga
- Guntur
- Gurgaon
- Haryana
- Hyderabad
- Idukki
- Indore
- Jaipur
- Kalyan
- Kannur
- Kanpur
- Kasaragod
- Kerala
- Kolkata
- Kollam
- Kottayam
- Kozhikode
- Lucknow
- Madurai
- Malappuram
- Mangaluru
- Mumbai
- Mysuru
- Nagpur
- Nashik
- Navi Mumbai
- Nizamabad
- Noida
- Palakkad
- Pathanamthitta
- Pune
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- Salem
- Shimla
- Solapur
- Surat
- Thane
- Thanjavur
- Thirunelveli
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- Thrissur
- Tiruchirappalli
- Tiruppur
- Trivandrum
- Vadodara
- Varanasi
- Vellore
- Vijayawada
- Visakhapatnam
- Wayanad
Course Highlights
Our Locations
Students will learn how to design effective AI prompts, improve AI responses, automate tasks, and use modern AI tools for real-world applications.
. **Course Description (Use Malappuram)**
Our **AI Prompt Engineering Course in Malappuram** is a practical training program designed to teach Generative AI, Large Language Models (LLMs), ChatGPT, and advanced prompt creation techniques. Join our **AI Prompt Engineering Training in Malappuram** to master AI communication techniques and prepare for future opportunities in the rapidly growing AI industry.
This course helps learners develop essential AI skills for content creation, software development, business automation, research, and productivity enhancement. 
