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Prompt Engineering
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.
5/5(4,890 Reviews)
Level
Advanced
Duration
8 weeks
What is Prompt Engineering?
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.
Training Plan
About trainer
Working professional who is carrying more then 10 years of industry experience.
Decks
The candidate will get access to the presentation taken-up during the session.
Notes
Consolidated notes in word document.
Assignments
Assignments for every module will be covered.
MCQs
MCQs for every module covered in the session would be provided.
Video Recording
Daily Session would be recorded and shared to the candidate.
Dumps for Certification
We will provide dumps for the certification exam, which will help you to prepare for the exam.
Updated Content
We provide Generative AI Driven content By experts.
Projects
3 Live Projects will be provided for practice.
Prompt Engineering Course Curriculum
.
Introduction to Prompt Engineering
Section 1
Understand the basics of AI models and how prompts drive outputs.
AI & LLM Basics
Importance of Prompts
Context Setting
Role of Instruction Clarity
.
Fundamentals of Large Language Models (LLMs)
Section 2
Learn the working of LLMs, their strengths, limitations, and how prompts influence their responses.
LLM Architecture Basics
Context & Tokens
Strengths & Limits
Role of Prompts
.
Types of Prompts
Section 3
Explore different prompt structures such as zero-shot, one-shot, and few-shot prompting with practical examples.
Zero-Shot Prompts
One-Shot Prompts
Few-Shot Prompts
Instruction Prompts
.
Designing Effective Prompts
Section 4
Learn techniques for crafting clear, specific, and context-aware prompts to generate accurate and reliable responses.
Clarity & Specificity
Context Usage
Step-by-Step Prompts
Error Reduction
.
Advanced Prompting Techniques
Section 5
Master advanced strategies like chain-of-thought prompting, role-based prompting, and self-consistency methods.
Chain-of-Thought
Role-Based Prompts
Self-Consistency
Iterative Refinement
.
Prompting for Creative Content
Section 6
Use prompt engineering for generating creative outputs such as stories, marketing copy, blogs, and brainstorming ideas.
Storytelling Prompts
Marketing Content
Brainstorming Ideas
Content Rewriting
.
Prompting for Code & Technical Tasks
Section 7
Apply prompts for coding, debugging, optimization, and technical documentation with AI assistance.
Code Generation
Debugging Prompts
Code Optimization
Documentation Support
.
Prompting for Data Analysis & Research
Section 8
Leverage AI with effective prompts for summarization, data queries, report generation, and academic research support.
Data Summarization
Research Prompts
Report Drafting
Analytical Insights
.
Multimodal Prompting
Section 9
Explore prompting for AI systems that process text, images, and other formats, enabling more comprehensive interactions.
Text + Image Prompts
Image Captioning
Visual Question Answering
Multimodal Use Cases
.
Tools & Frameworks for Prompt Engineering
Section 10
Learn about platforms, plugins, and frameworks that assist in designing, testing, and optimizing prompts.
Prompt Tools
Testing Platforms
Frameworks & APIs
Optimization Methods
Key Projects
Prompt Engineering
AI-Powered Customer Support Chatbot
Use few-shot prompting to make a chatbot that can answer questions, handle complaints, and handle ticketing. Make sure that prompts are polite, accurate, and consistent by optimizing them.
Content Generation for Marketing
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.
Data Analysis Assistant
Develop a prompt system that helps analyze datasets and summarize insights. Implement chain-of-thought prompting to ensure step-by-step logical outputs.
Prompt Engineering – Associate Training Program
Category
Associate
Exam Name:
Prompt Engineering – Associate
Exam Code:
N.A.
Exam Duration:
N.A.
Exam Format:
N.A.
Passing Score:
N.A.
Our Testimonials
Frequently Asked Questions (FAQs)
Who should take Prompt Engineering Training?
This course is perfect for people who love AI, developers, data scientists, content creators, and business people who want to use AI tools well for automation, content, or data insights.
What is Prompt Engineering?
Prompt Engineering is the practice of designing effective inputs for AI models to generate accurate, relevant, and high-quality outputs. It’s crucial for AI tools like ChatGPT, GPT-4, and other language models. TechPratham’s training teaches learners how to craft precise prompts for diverse applications in business, content creation, and research.
Why is Prompt Engineering important?
The quality of AI outputs depends heavily on how prompts are framed. Well-engineered prompts save time, improve accuracy, and reduce errors. TechPratham helps learners understand prompt optimization techniques to achieve consistent and reliable AI results.
Can Prompt Engineering be applied to all AI models?
Yes, it’s applicable to language models, image generators, chatbots, and multimodal AI systems. TechPratham trains learners to adapt prompts across platforms for tasks like content creation, coding, research, and automation.
Do I need technical skills to learn Prompt Engineering?
Basic understanding of AI concepts is helpful, but no advanced coding is required. TechPratham’s curriculum is beginner-friendly and gradually introduces complex techniques through hands-on practice.
What skills will I gain from Prompt Engineering training?
Learners develop prompt design, AI output optimization, contextual query framing, creativity in AI tasks, and workflow automation skills. TechPratham provides project-based exercises to apply these skills in real-world scenarios.
How can Prompt Engineering benefit businesses?
It helps automate tasks, generate content, summarize data, and improve AI-driven decision-making. TechPratham teaches how businesses can leverage prompt engineering to save time, reduce costs, and increase productivity.
Is Prompt Engineering used only for text-based AI?
No, it can be applied to text, images, code, and multimodal AI systems. TechPratham ensures learners understand how to craft prompts for different AI applications, including image generation and coding assistants.
How do I evaluate the effectiveness of a prompt?
Effectiveness is measured by the relevance, accuracy, and completeness of AI outputs. TechPratham provides frameworks and real-world exercises to test, refine, and improve prompts systematically.
Can I become a professional Prompt Engineer?
Yes, with proper training, learners can pursue roles in AI content generation, research, automation, and data analysis. TechPratham equips learners with practical skills and project experience to be job-ready.
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