AI Prompt Engineering: Generative AI & Context Engineering

Explore how large language models understand prompts by predicting the next word through tokenization and pattern recognition, trained on massive data with transformer architectures, and how context shapes responses.

Explore why chatbots hallucinate: reliance on statistical scores, training data, and lack of real-time verification lead to overconfident, incorrect answers; stress verification for sensitive info.

Explore the psychology behind writing better prompts and master prompt engineering to shape thinking in artificial intelligence, including being specific, defining output formats, tailoring for audience level, and structuring instructions.

Compare prompt engineering with normal searching by highlighting how Google retrieves existing pages while ChatGPT generates new content from training data. Explore interactive, iterative prompting and its power.

The module outlines prompt engineering basics, how to craft effective prompts for chatbots like ChatGPT and Deepseek, types of prompts, and real-world AI applications.

Learn the basics of prompt engineering and how to craft clear prompts for chatbots like ChatGPT. Understand how input quality shapes outputs and why precise questions yield better answers.

Master prompt engineering in the ai age by clearly defining prompts, adding parameters, and guiding chatbots like ChatGPT and Deepseek to generate precise outputs, analyze data, and boost productivity.

Explore real world applications of prompt engineering across writing, coding, teaching, and business. Learn to generate emails, blogs, stories, quizzes, lesson plans, questions, and code with optimized prompts.

Compare ChatGPT and Deepseek to analyze their prompts, outputs, open source status, internet search, language support, and free versus paid versions.

Master ChatGPT prompting by exploring zero-shot, few-shot, and chain of thought prompts, and applying role play and system prompts to tailor responses, create emails, generate code, and outlines.

The video explains types of prompts, including zero-shot prompting, few-shot prompting, and chain-of-thought prompting, and shows how to guide chatbots with examples and step-by-step prompts.

Explore role play prompts that let the assistant assume roles like doctor or math teacher to tailor age-appropriate, expert guidance.

Learn how system prompts set meta level rules and behavior for chat models, tuning style, tone, emotions, and formatting through explicit instructions like headings, bold text, bullets, and emojis.

Explore case studies and applications of prompt writing across real-world tasks using ChatGPT and Deepseek, including emails, code generation, content outlines, website building, and real-time data retrieval.

Identify common prompt issues in prompt engineering and apply fixes by adding context, constraints, and explicit guidelines to elicit accurate, structured responses from chatbots like ChatGPT and Deepseek.

Explore module three on deep seek, compare it with ChatGPT, and learn its text-to-code conversion, summarization of research papers and articles, plus pros and cons for real tasks.

Deep seek differs from ChatGPT by offering structured, automation-oriented capabilities. It excels in code generation, data summarization, and multi-language support, while ChatGPT focuses on conversational tasks.

Explore the unique capabilities of deep seek, including advanced text-to-code conversion, long document summarization, workflow automation, and higher reasoning for structured tasks with practical prompts and code examples.

Explore how to tailor prompts for DeepSeek to generate code, automate tasks, and summarize content, including Python, PHP, and HTML/CSS outputs.

Examine the pros and cons of using deep seek in real-world tasks, including code generation from prompts, article summarization, automation, and reasoning across complex tasks for developers, researchers, and analysts.

Explore power prompts for task automation across content generation, scheduling, research, marketing, code tasks, and LMS management using ChatGPT and Deepseek.

Explore task automation with AI by crafting prompts for ChatGPT and Deepseek, enabling content generation, research paper search, scheduling, and project workflow optimization.

Explore 140+ marketing prompts and practice with about 150 prompts covering brand strategy and positioning. Develop content calendars, personas, SEO ideas, and campaigns for social media, email, copywriting, and ads.

Explore 200 development prompts for code generation in Python, PHP, and C sharp, plus debugging and documentation prompts across AI, data analysis, visualization, web, and game development.

Explore 200+ education prompts to generate quizzes, lesson plans, and teaching tools for students, teachers, and exam contexts, with guidance on customizing prompts for various grades and subjects.

Explore prompt optimization techniques in module five, including refining prompts to get a better result and iterative prompt testing. Learn how temperature, max token, and system messages shape chatbot prompts.

Refine prompts by adjusting context to fit your goal and audience. Tailor prompts for tasks like fraction definitions for different levels or quizzes with explanations.

Discover iterative prompt testing by testing, refining, and repeating prompts like debugging code; narrow scope, add context, parameters, and style, using examples such as Python quizzes to guide ai responses.

Explore how temperature as a backend parameter controls chatbot creativity, comparing low (0.2) factual responses to high (0.9) creative outputs in prompt engineering with ChatGPT and API backends.

Explore what a token is in prompt engineering, how token length controls output length, and how temperature and backend settings shape chatbot responses.

Define AI roles and rules via system messages to create an expert, multi-domain assistant that switches between software, physics, and other fields.

Explore module six mini projects and practical tasks to automate workflows with comprehensive prompts that bundle project descriptions, course outlines, and marketing strategies.

Showcases a single prompt to generate a complete project description, including title, language, descriptions, algorithm, plan, source code, tested in ChatGPT and DeepSea.

Discover how to craft comprehensive prompts and daily life automation to save time, and learn to assemble a complete course description with headings, titles, taglines, and certifications for lms platforms.

Explore a comprehensive prompt for marketing strategy using ChatGPT and Deepseek, detailing product overview, target audience, budget allocation, unique value proposition, and core marketing objectives.

Create a comprehensive prompt using your education, skills, experience, and interests to receive a career coach output with profile summary, career domain suggestions, role recommendations, and skill-gap analysis.