Gen AI and Prompt Engineering for Business Leaders Training Course
AI For Business Leaders Course
- Experienced instructors with industry expertise
- Access to official guides and materials
- Covers all exam topics thoroughly
- Flexible study at your own pace
- Support for exam service
- Anytime access to study resources
What you'll learn
80+ advance prompts targeting complex problems in Technology, Energy, Supply chain, Human Resource, Legal and many other industries.
Training Course Outline
Master Gen AI and Prompt Engineering for Business Leaders
Section 1
Video 1- Gen AI Intro
Video 2- Different kind of AI and AI vs ML
Video 3- Gen AI Intiial introduction
Video 4- Components of Gen AI
Section 2
Video 1- Introduction to evaluation metrics & Precision
Video 2 Recall and other metrics
Video 3 How to manage Precision & Recall
Section 3
Video 1- Introduction to LLMs for begineers
Video 2- why LLMs are better than conventional models
Video 3 - Explanation of self attention
Video 4 what is hallucination
Video 5- Non-Technical introduction of Encoder and Decoder
Video 6- How does LLM works
Video 7- Illustration of LLM's working
Video 8- Evaluating LLM's performance- Perplexity, BLEU, ROUGE
Section 4
Video 1- Intro to Prompt engineering
Video 2- Intro to Structure based Prompt techniques
Video 3- Purpose based Prompt Techniques
Video 4- Shots in Prompt Engineering
Video 5- Chain of Thoughts
Video 6- Instruction tuning and RAG prompt technique
Video 7- Meta & Tree of thought
Video 8- ReAct and DSP
Training Options
Self Paced Learning
- Lifelong access to high-quality content
- Curated by industry experts
- Customized learning progress
- 24/7 learner assistance and support
- Follow the latest technology trends
Exam Dump
- 100% Real Exam Practice Tests
- 100% Verified Exam Questions & Answers
- 100% Guarantee Passing Rate
- Average 7 Days to Practice & Pass
Description
AI prompt engineering is the art of crafting precise inputs to maximize the effectiveness of AI models like ChatGPT. It involves designing clear, context-rich prompts to elicit accurate, relevant responses for tasks like content creation, coding, or analysis. Techniques include specifying tone, providing examples, or breaking complex queries into steps. Good prompt engineers understand model behavior, tweak phrasing for clarity, and anticipate limitations. This skill enhances productivity across industries—think generating marketing copy or debugging code. As AI adoption grows, mastering prompt engineering becomes key to unlocking its full potential efficiently and creatively.
Pre-requisites
No Programming Experience needed
DeepSeek from entry to mastery (Tsinghua University)
DeepSeek from entry to mastery (Tsinghua University)
Cours name: DeepSeek SEO File Type: PDF
DeepSeek_Cheat_Sheet_by_Prompt_Security
DeepSeek_Cheat_Sheet_by_Prompt_Security
Cours name: DeepSeek File Type: PDF
About AI Prompt FAQs
What Is an AI Prompt?
An AI prompt is an instruction, query, or statement given to an artificial intelligence system to generate a specific response. It serves as a way to communicate with AI, guiding it toward producing relevant and accurate outputs.
What Does an AI Prompt Engineer Do?
Prompt engineers specialize in designing effective prompts that help AI systems generate precise, contextually appropriate responses. Their expertise ensures that AI retrieves relevant information, structures responses correctly, and maintains high-quality outputs, especially in domains requiring specialized knowledge.
How Do AI Prompts Work?
When you input a prompt into a generative AI model, the system processes the request using the vast dataset it was trained on. The quality of the AI’s response depends largely on how well the prompt is crafted, as AI models rely on learned patterns to generate meaningful and relevant answers.
What Is the Salary of an AI Prompt Engineer?
Prompt engineering is an emerging and lucrative career in the field of artificial intelligence. In India, salaries for AI prompt engineers typically range from ₹10 LPA to ₹40 LPA, depending on experience, industry demand, and job role. The growing adoption of AI-powered solutions continues to drive demand for professionals with expertise in prompt optimization and AI interaction.