No-Code Prompt Engineering Course – Master in Prompting
Curious about AI but not interested in coding? At Endtrace Training, our Prompt Engineering course is designed exclusively for those who want to master AI without any programming requirements.
Gain global certification, hands-on, practical experience that goes beyond just foundational knowledge, guiding you to craft effective prompts for top large language models like ChatGPT, Claude, LlaMa, Perplexity and Gemini.
Whether you’re a fresh graduate or a professional looking to upskill, our expert-led classes empower you with essential AI insights and skills to thrive in digital transformation.
Gain industry-ready expertise that’s recognized globally. Enroll now to achieve certification and elevate your career in AI.
Training : Online / Offline
Daily Session Recorded Videos
Open-Source LLM Model
Course Materials
Industry Level Used Documents
Real World use cases and Scenarios
- Global Certification Readiness: Complete the course, and you’re prepared for globally recognized certification in Prompt Engineering.
- Hands-on Learning: Learn through real-world scenarios to ensure your skills are job-ready.
- Comprehensive Curriculum: From NLP and ethical considerations to advanced prompt techniques like RAG, COT, ReAct and more, our curriculum covers it all.
Enroll Free Demo
Best Prompt Engineering Certification Course without Programming
Prompt Engineering Certification Course Topics and Concepts
Endtrace’s course curriculum includes practical sessions with real-time scenarios on the Prompt Engineering, which will help you master all its tools.
Are you a fresh learner, hate coding / programming skills, working professional looking to upskill in AI—without diving into programming? Our No-Code Prompt Engineering Course is tailored specifically for you.
LLMs like ChatGPT, Claude, and Gemini are reshaping industries, but using them effectively requires more than basic understanding. This course demystifies prompt engineering techniques such as Zero-Shot, few-shot learning, chain-of-thought prompting, and RAG—all taught through real-world scenarios and simplified for non-coders.
Whether you’re breaking into the field or advancing your career, this course will empower you to create efficient prompts, that helps to reduce token utilization and increase response time with in the Context window Limits in various LLM applications that employers highly value.
Prompt Engineering Course Outline
Introduction to Prompt Engineering and AI Fundamentals
- Understanding Large Language Models (LLMs)
- The Role of Prompt Engineering in AI
- Ethical Considerations in Prompt Engineering
Introduction to LLM Model Architecture
- Transformer Architecture
- Traditional Natural Language Processing (NLP)
- Basics of Autoregressive Model
Prompt Engineering Models and Techniques
- Types of Prompt Engineering Models
- RAG (Retrieval-Augmented Generation)
- COT (Chain of Thought)
- ReAct (Reasoning and Action)
- Zero-shot/Few-shot/Many-Shot Prompting
- Self-Reflection & Self-Consistency
- Meta Prompting & Automatic Prompt Engineering
Crafting Effective Prompts for LLMs
- Prompt Structuring Basics
- Techniques for Prompt Refinement
- Enhancing Prompt Clarity and Specificity
Basics of Neural network models used in LLMs
- Basics Recurrent neural networks (RNN)
- Convolutional neural networks (CNN)
- Long short-term memory (LSTM)
Practical Applications of Prompt Engineering
- Prompting for Marketing and Content Creation
- Customer Support and User Assistance Prompts
- Scenario-Based Prompting: Real-World Use Cases
- Case Studies: Effective Prompt Engineering in Industry
Working with Open-Source LLMs
- Introduction to Open-Source LLMs (e.g., LLaMa, Flan-T5)
- Customizing Prompts for Open-Source Models
- Adapting Prompts for Specific Use Cases
Advanced Techniques for AI Interaction
- Leveraging AI Playgrounds for Prompt Testing
- Evaluating and Measuring Prompt Effectiveness
- Debugging and Improving Model Responses
Certification and Career Development
- Preparing for Global Prompt Engineering Certification
- Mock Exams and Practice Sessions
- Building a Prompt Engineering Portfolio
- Career Opportunities in Prompt Engineering
Prerequisites:
- We will explore with no-code tools
- No knowledge of programming is required.
- Should have interest in IT Industry.
- Basic Communication Skills.
What You’ll Gain from This No-Code Prompt Engineering Course:
Design and Optimize Prompts
- Learn simple tactics to create powerful prompts that boost model performance for tasks like summarization and data extraction.
- Build a framework to apply advanced techniques without coding.
Master Essential Prompting Techniques
- Apply the latest methods, like few-shot learning, chain-of-thought, RAG, and more, to real-world scenarios.
- Use tools like ReAct, function calling, and LLM-powered agents to build smarter applications.
Develop Real-World, No-Code Applications
- Create personalized chatbots, tagging systems, and product review analyzers.
- Use LLMs with external knowledge to build impactful AI solutions.
Evaluate and Enhance Your Applications
- Learn to measure quality, safety, and reliability in your AI solutions.
- Explore key safety topics, including prompt injection and moderation tools.
Use the Latest Tools in AI Prompting
- Work with tools like ChatGPT, Llama Index, Gemini, and LangChain.
- Stay up-to-date on trends and the future of prompt engineering—without programming.
Get practical skills to build effective prompts using top LLM applications effortlessly. Ready to upskill?
Request Demo
Get in Touch with Us
We are pleased to help with your queries. Please feel free to call or email us for Course details, Course schedules