Learn how to do Prompt Engineering so you can make good inputs for AI and big language models. Find out how to make AI more accurate, creative, and reliable in real life.
Level
Advanced
Duration
8 weeks



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This training teaches students the basics of Prompt Engineering for AI models like GPT. You will learn about different ways to prompt people, like zero-shot, few-shot, and chain-of-thought prompting. The course focuses on making, improving, and testing prompts for real-life situations. By the end, you'll know how to make prompts that work best for chatbots, automation, and apps that use data.
Working professional who is carrying more then 10 years of industry experience.
Access to updated presentation decks shared during live training sessions.
E-book provided by TechPratham. All rights reserved.
Module-wise assignments and MCQs provided for practice.
Daily Session would be recorded and shared to the candidate.
Live projects will be provided for hands-on practice.
Expert-guided resume building with industry-focused content support.
Comprehensive interview preparation with real-time scenario practice.
Introduction to Prompt Engineering
Understand the basics of AI models and how prompts drive outputs.
Fundamentals of Large Language Models (LLMs)
Learn the working of LLMs, their strengths, limitations, and how prompts influence their responses.
Types of Prompts
Explore different prompt structures such as zero-shot, one-shot, and few-shot prompting with practical examples.
Designing Effective Prompts
Learn techniques for crafting clear, specific, and context-aware prompts to generate accurate and reliable responses.
Advanced Prompting Techniques
Master advanced strategies like chain-of-thought prompting, role-based prompting, and self-consistency methods.
Prompting for Creative Content
Use prompt engineering for generating creative outputs such as stories, marketing copy, blogs, and brainstorming ideas.
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Make a workflow that will help you write SEO blogs, product descriptions, and ad copies. Use tone-control prompts that are specific to your industry and audience.
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Develop a prompt system that helps analyze datasets and summarize insights. Implement chain-of-thought prompting to ensure step-by-step logical outputs.

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