AI Prompting Skills Improvement (Intensive Training Program)

Fluent in English, but still struggling to get powerful results from AI like ChatGPT, Gemini, or Claude? We are DigiBull AI, headquartered in Hootagalli Industrial Area, Mysuru. Our analysis shows a significant skill gap: 90% of people do not know how to write truly effective prompts for LLMs such as ChatGPT. This barrier prevents organizations from maximizing the utility of these powerful tools. Crucially, success in prompting is not only about having "good English" or general fluency. It requires a deep understanding of *logic, structure, rhetorical clarity, and instructional design.* These are the skills to organize information so the AI cannot misinterpret your intent. DigiBull AI has decided to launch a highly selective, intensive training program in Mysuru designed to bridge this gap, absolutely free. We are seeking sharp individuals with MA in English literature to join our inaugural cohort and transform their strong grasp of the English knowledge into skillfully crafting prompts. # Program Highlights Analysis shows 90% of people struggle with effective prompting. We are selecting only **10 exceptional candidates** for this intensive training. Profile - **MA English Literature** and demonstrated strong English proficiency are highly preferred. Your deep grasp of language nuance is your greatest asset. We will offer a **paid internship opportunity to the top 2 candidates** upon completion of this free course. # Course Structure: 12 Hours of Intensive Training This course is designed for rapid, measurable skill development, moving quickly from theory to intensive, hands-on practice. * **Total Sessions:** 6 sessions * **Session Length:** 2 hours each (12 total hours) * **Online:** 2 sessions * **In-Person:** 4 sessions Sessions will focus on prompt frameworks, structure, techniques, testing, and practical application. # Intensive Prompting Improvement Course: 6-Session Syllabus This curriculum is structured to build expert-level prompting skills, leveraging a strong understanding of language and rhetoric. # Module 1: Foundations & The Prompting Mindset (Online Sessions) This module focuses on understanding how LLMs process language and establishing the fundamental structure of high-quality prompts. **Session 1** **The Anatomy of a High-Impact Prompt** **1\. Problem Diagnosis:** Understanding *why* prompts fail (ambiguity, lack of context, low constraint). **2\. The Prompting Blueprint:** Defining the necessary components: **Role/Persona** (Act as a...), **Task** (What to do), **Context/Input** (The data to use), and **Constraints/Format** (How to respond). **3\. Language Fidelity:** Using precise\, descriptive language to eliminate guesswork for the AI\.\| **Session 2** **Core Strategies & Directionality** **1\. Few\-Shot Prompting:** The power of providing 1-3 successful examples *within* the prompt to guide output style and format. **2\. Zero\-Shot & Instruction:** Mastering clear, direct, and exhaustive instructions without examples. **3\. Delimiters & Structure:** Using clear separators (e.g., """, ) to cleanly separate instructions from input data, preventing "prompt leakage." # Module 2: Advanced Improvement Techniques (In-Person Sessions) These sessions focus on complex, high-leverage techniques for achieving superior, consistent results across diverse tasks. **Session 3** **Chain-of-Thought (CoT) & Reasoning** **1\. Deconstruction:** Breaking down a complex output goal (e.g., a strategic document) into a sequence of simpler prompts. **2\. CoT Implementation:** **Prompting for Internal Reasoning** ("Let's think step-by-step first") to drastically improve the accuracy of logical and arithmetic tasks. **3\. Self\-Correction Prompts:** Writing prompts that instruct the AI to critique and revise its *own* previous output. **Session 4** **Context Grounding & Iterative Refinement** **1\. Context Injection:** Efficiently integrating specific domain knowledge or proprietary documents (the 'grounding' text) into the prompt for factual accuracy. **2\. Iterative Looping:** Practicing the cycle of **Initial Prompt** -> **Analyze Output** -> **Refinement Prompt** (e.g., "Refine point 3 to sound more authoritative"). **3\. Tone & Voice Modulation:** Using vocabulary and rhetorical devices to precisely control the final tone \(academic\, sales\, legal\, etc\.\)\.\| # Module 3: Application, Evaluation, and Optimization (In-Person Sessions) The final module focuses on systematic testing, quality assurance, and high-stakes application scenarios. **Session 5** **Prompt Debugging & Quality Assurance** **1\. Prompt Validation:** Developing a reliable rubric for scoring the quality of AI outputs (e.g., accuracy, adherence to constraints, utility). **2\. Failure Analysis:** Systematically diagnosing common prompt issues (hallucination, redundancy, ignored constraints). **3\. Prompt Hygiene:** Techniques for documenting, organizing, and versioning successful prompts. **Session 6** **Optimization Challenge & Career Path** **1\. Final Challenge:** A competitive, real-time optimization exercise to take a low-quality prompt and refine it for a target business outcome. **2\. Prompting for Productivity:** Applying skills to common professional tasks (summarization, report drafting, code analysis). **3\. Program Wrap\-up:** Q&A, Feedback, and Announcement of the **2 Internship Candidates**. Those who are interested, please DM. Thanks.