This course provides comprehensive knowledge of Prompt Engineering in the context of Artificial Intelligence, particularly focusing on Large Language Models (LLMs) such as ChatGPT, Claude, Gemini, LLaMA, and more. Learners will gain hands-on experience in crafting, optimizing, and deploying effective prompts across a variety of AI applications.
Key Learnings
By the end of this course, learners will:
- Understand how AI and LLMs interpret prompts.
- Master different prompting techniques (zero-shot, few-shot, etc.).
- Design AI-driven workflows using prompt engineering.
- Apply prompting in real-world domains like content creation, coding, education, data analysis, and customer support.
- Work with tools like OpenAI Playground, APIs, and no-code integration platforms.
- Build and test prompt-based solutions and applications.
Course Modules
Module 1: Introduction to AI & Prompt Engineering
- What is Artificial Intelligence?
- What is a Prompt in AI?
- Introduction to LLMs (GPT, Claude, Gemini, etc.)
- Role of Prompt Engineering in the AI lifecycle
Module 2: Anatomy of an Effective Prompt
- Key components: instruction, context, format
- Understanding prompt behavior
- Controlling tone, persona, and style
- Examples of good vs. poor prompts
Module 3: Prompting Techniques
- Zero-shot prompting
- Few-shot and one-shot prompting
- Chain-of-thought reasoning
- Role-based prompting
- Iterative refinement techniques
Module 4: Prompt Engineering Tools & Platform
- OpenAI Playground and API usage
- PromptBase, FlowGPT, PromptLayer
- LangChain and AgentGPT overview
- Monitoring and evaluating prompt performance
Module 5: Domain-Specific Prompt Engineering
Hours: 4
- Content Creation: Blogs, emails, storytelling
- Education: Tutoring, quizzes, training material
- Programming: Code generation, explanation, debugging
- Customer Service: Scripts, response templates, bots
- Data Analysis: Using LLMs to summarize and interpret data
Module 6: Advanced Prompt Strategies
- Dynamic and parameterized prompts
- Modular prompt flows
- Building prompt templates
- Prompt testing and optimization
Module 7: Final Capstone Project & Certification
- Choose and develop a prompt-based solution
- Apply end-to-end prompt engineering concepts
- Present the solution in a real-world scenario
- Course review and final assessment
- Certification: Prompt Engineering for AI – Certified Professional
Who Should Attend?
-
Developers & Tech Professionals
-
Content Creators & Writers
-
AI Enthusiasts & Data Analysts
-
Customer Support Specialists
-
Business Process Experts
-
Educators & Trainers
Career Path Opportunities
-
Prompt Engineer
-
AI Product Specialist
-
Conversational Designer
-
AI Content Strategist
-
Virtual Assistant Developer
-
LLM App Integrator
International Student Fees: USD: 300$
Job Interview Preparation (Soft Skills Questions & Answers)
- Tough Open-Ended Job Interview Questions
- What to Wear for Best Job Interview Attire
- Job Interview Question- What are You Passionate About?
- How to Prepare for a Job Promotion Interview
Stay connected even when you’re apart
Join our WhatsApp Channel – Get discount offers
500+ Free Certification Exam Practice Question and Answers
Your FREE eLEARNING Courses (Click Here)
Internships, Freelance and Full-Time Work opportunities
Join Internships and Referral Program (click for details)
Work as Freelancer or Full-Time Employee (click for details)
Flexible Class Options
- Weekend Classes For Professionals SAT | SUN
- Corporate Group Trainings Available
- Online Classes – Live Virtual Class (L.V.C), Online Training
Related Courses
Certified Prompt Engineering Professional Training(CPEP)
Complete ChatGPT Prompt Engineering Course
Open AI API, Chat GPT With Python
ChatGPT A.I. site With Django Python
ChatGPT OpenAI Course Basic to Advance
