Mastering Prompt Engineering for GenAI - Practical Workshop

Explore fundamental concepts of prompt engineering and its ecosystem, and learn how iterative refinement of clear, specific instructions to generative AI models yields accurate, useful results.

Explore large language models as the backbone of prompt engineering, and learn how retrieval augmented generation uses external sources to ground domain-specific outputs and guide accurate, creative responses.

Explore popular prompt engineering tools like ChatGPT, Google Gemini, and Microsoft Copilot, and learn how they use large language models to deliver human-like responses, boost productivity, and support conversational tasks.

Explore the anatomy of a prompt—keywords, instructions, constraints, and format—and apply clarity, conciseness, and context to guide AI responses effectively.

Explore the components of prompt anatomy—keywords, instructions, constraints, and formatting—through hands-on demonstrations with ChatGPT, including how to craft prompts for summarization and formal emails.

Explore zero-shot and few-shot prompting to guide language models without extensive training data. Learn chain of thought prompting, knowledge injection, and ChatGPT frameworks for crafting efficient prompts.

Learn the Race prompt framework—role, action, context, and explanation—to design clear prompts that guide language models, with a data analysis focus on optimizing ML model accuracy.

apply the care framework—context, action, result, and example—to address distractions and low productivity by understanding context, taking action, and evaluating results to improve concentration and daily productivity.

Apply a framework of action, purpose, and execution to define the job to be done, set goals, and outline steps for a marketing strategy that boosts brand visibility and sales.

Apply the create framework for task delegation, featuring character requests, examples, adjustment, output type, and extras, to craft a flexible digital project timeline with a Gantt chart and marketing collaboration.

Apply the tag framework to define a task, the action to take, and the goal to achieve, ensuring clarity and alignment for efficient planning and objective achievement.

Apply the creo framework—context, request, explanation, and outcome—to define tasks in project management, clarifying context, job, explanations, and outcome, including caching and database query optimization to improve performance.

Discover the Pain framework for structured problem solving—define the problem, specify the job to be done, request information, and outline next steps and resources, applied to data quality challenges.

Coast is a five-step, structured problem-solving framework: context, objective, actions, scenario, and task, used to plan web layout changes, like adjusting the container left div's width via css.

Explore the roses framework for problem solving—defining role, objective, scenario, expected solutions, and steps to craft clear, actionable prompts.

Explore practical prompt engineering for email tasks by using ChatGPT to draft and reply to professional messages, including leave requests and addressing lateness with clear, concise tones.

Explore crafting blog posts with ChatGPT, from topic selection and brainstorming to generating subtopics and full drafts, using prompts and generative AI.

Explore how prompts drive image generation with Copilot, using detailed prompts to create tailored visuals for your blog, from alien-human handshakes to varied styles and color schemes.

Use ChatGPT to summarize written content like articles or blogs, saving time while capturing key points quickly; tailor prompts to produce concise or detailed summaries.

Learn how to plan a detailed mountain trek using ChatGPT, generating packing checklists and day-by-day itineraries tailored to fitness, pace, and landmarks.

Harness prompt engineering to optimize HR workflows and candidate screening with objective assessments. Recruiters can use ChatGPT to ask basic job questions and gauge candidate knowledge, saving time.

Leverage prompt engineering, LMS, and ChatGPT to craft formal, precise emails for HR tasks—from candidate details requests to internal policy updates—saving time.

Explore how lms and prompt engineering with ChatGPT enable tailored training, matching employees' skills and career goals to personalized development programs for upskilling.

Explore how prompt engineering with ChatGPT streamlines training and development planning by creating actionable agendas, outlining learning outcomes, topic progression, and timing for sessions.

Leverage ChatGPT to generate and refine Python assessments, quizzes, and prompts, delivering a 15-question MCQ for beginners with clear explanations of basics like variables and loops.

Discover how prompt engineering enables IT consultants to generate and translate code, debug effectively, and create dummy data, illustrated by building a Python online learning site hosted on port 80.

Explore prompt engineering with LMS to accelerate interview preparation using ChatGPT for common questions and structured responses. Identify priority topics for roles like solution architect.

Discover how ChatGPT generates songs and poems across genres and languages with simple prompts, from rap to Hindi Independence Day, and learn to blend AI with human creativity.

Explore prompt engineering for ai-driven music creation with LimeWire. Generate Indian classical music or Punjabi beat blends from prompts and learn about tokens, credits, and the free plan.

Explore using prompt engineering with a dedicated PowerPoint tool to generate a tailored Docker presentation, select templates, and balance AI speed with human input.

Explore Vertex AI Studio to access generative AI models, test prompts, customize with your data, and deploy models to production with automatically generated code, all with no code.

Learn how Firebase Studio enables building full-stack web and mobile apps in your browser with AI helpers from Gemini, using templates, multiple languages, and code-first or prompt-driven workflows.