Prompt Engineering Course
Course Overview
Our comprehensive Prompt Engineering Course provides an in-depth understanding of the art and science of crafting effective prompts for AI language models. This course covers fundamental principles, advanced techniques, and practical applications to help learners master the intricacies of leveraging AI systems. Topics include creating clear and specific prompts, guiding models with structured outputs, understanding AI limitations, and advanced prompting techniques like Zero-Shot and Few-Shot prompting. Through hands-on labs, students will gain practical experience in tasks such as summarization, inference, and transformation, empowering them to excel in a rapidly evolving AI landscape.
This Course Is For
AI Enthusiasts : Individuals eager to explore the potential of artificial intelligence and understand how to guide language models effectively.
Tech Professionals : IT professionals, developers, and data scientists looking to enhance their skills in using AI for real-world applications.
Business Leaders : Managers and decision-makers aiming to integrate AI solutions into their operations for automation and innovation.
Content Creators : Writers, marketers, and creative professionals who want to leverage AI tools for content generation and optimization.
Students & Educators : Those pursuing or teaching computer science, machine learning, or natural language processing (NLP).
Automation Specialists : Professionals focused on improving workflows and processes using AI-driven tools.
Course Modules
- Intro to Prompt Engineering
- Prompting principles
- Principle 1: Write Clear and specific Prompts
- Using Delimiters
- Ask for a structured O/P
- Ask model to check whether condition is Satisfied
- Use Prompting Techniques
- Lab 01
- Principal 2: Give the model time to think
- Specify steps required to complete a Task
- Ask for O/P in specified format
- Instruct the model to work out its own solution before rushing to conclusion
- Lab 02
- Hallucinations
- Context Length
- Specific date
- Lab 03
- Basic
- Role playing
- Iterative prompt Development / Refinement
- Feedback Loops
- Advanced
- Zero-Shot Prompting
- Few-Shot Prompting
- Chain of Thought (CoT)
- Lab 04
- Others
- Summarizing Task
- Lab 05
- Inferring Task (i.e., Infer sentiments & topics from given text (reviews / articles)
- Lab 06
- Transforming Task (i.e., Using LLMs for language translation, tone adjustment, etc)
- Lab 07
Skills You Will Gain
The students will acquire the following set of skills after completing this Training Course:
Prompt Crafting Mastery : Learn to design clear, specific, and effective prompts that guide AI models toward generating precise, structured, and high-quality outputs for diverse tasks.
Advanced Prompting Techniques : Gain expertise in Zero-Shot and Few-Shot prompting, Chain of Thought (CoT) reasoning, and iterative prompt refinement, enabling complex task execution and improved AI performance.
AI Model Utilization : Understand how to leverage large language models (LLMs) for real-world applications such as language translation, sentiment analysis, topic inference, and summarization tasks.
Mitigating Model Limitations : Acquire the ability to identify and address AI limitations, including hallucinations, context-length constraints, and specific date-related inaccuracies, to ensure reliable and accurate results.
Iterative Development and Feedback Loops : Develop the skill to refine prompts iteratively and implement feedback loops, improving the efficiency and precision of AI-generated responses.
Practical AI Implementation : Master hands-on techniques to apply AI for tasks like summarizing information, inferring insights, and transforming text, bridging the gap between theory and practice.
Career Path
GenAI Solution Engineer
Prompt Engineer
AI Engineer
GenAI Expert
Pros Of The Course
Enhanced Problem-Solving : Gain the ability to design effective prompts and guide AI models in solving complex tasks, empowering you to tackle challenges with innovative and data-driven approaches.
Optimized AI Utilization : Learn to maximize the potential of AI language models by crafting precise prompts and mitigating model limitations, ensuring accurate and reliable outputs in diverse applications.
Practical Application in Various Domains : The skills gained in prompt engineering have wide-ranging applications, from improving customer service with chatbots to automating workflows and generating insightful content across industries.
Empowered Decision-Making with AI : By mastering prompt techniques and understanding AI capabilities, you’ll be able to make confident, informed decisions on implementing AI solutions in business, technology, and creative fields.

This course includes:
- Learn Prompt Engineering Principles (Basic, Intermediate, Advanced)
- Gain proficiency in crafting effective prompts for AI models
- Master advanced prompting techniques like Zero-Shot, Few-Shot, and Chain of Thought (CoT) reasoning
- Learn practical AI tools and techniques for summarization, inference, and transformation tasks
- Hands-on labs for iterative prompt development and real-world applications
- Deep understanding of AI model limitations and strategies to address them
- Multiple creative activities and practical exercises
- Masters-level course content with real-world examples and interactive sessions
- Training aligned with the rapidly growing AI and automation industry
- One to One Practical Training