Prompt Engineering Training in San Antonio

This instructor-led, live training in San Antonio (online or onsite) is aimed at advanced-level AI professionals who wish to enhance their prompt engineering skills for multimodal AI applications.

By the end of this training, participants will be able to:

• Understand the fundamentals of multimodal AI and its applications.
• Design and optimize prompts for text, image, audio, and video generation.
• Utilize APIs for multimodal AI platforms such as GPT-4, Gemini, and DeepSeek-Vision.
• Develop AI-driven workflows integrating multiple content formats.

This instructor-led, live training in San Antonio (online or onsite) is aimed at advanced-level enterprise AI teams, automation specialists, and business analysts who want to refine AI prompts for large-scale business automation and decision-making.

By the end of this training, participants will be able to:

• Understand the role of prompt engineering in enterprise automation.
• Develop advanced prompts to optimize AI-powered decision-making.
• Automate business workflows efficiently using AI-driven strategies.
• Improve the accuracy and reliability of AI-generated insights.
• Ensure compliance, security, and governance in AI-powered operations.

This instructor-led, live training in San Antonio (online or onsite) is aimed at advanced-level AI engineers, developers, and data analysts who wish to master prompt engineering strategies to maximize the effectiveness of DeepSeek LLM in real-world applications.

By the end of this training, participants will be able to:

• Craft advanced prompts to optimize AI responses.
• Control and refine AI-generated text for accuracy and consistency.
• Leverage prompt chaining and context management techniques.
• Mitigate biases and enhance ethical AI usage in prompt engineering.

This instructor-led, live training in San Antonio (online or onsite) is aimed at intermediate-level customer support professionals, chatbot developers, and automation engineers who wish to optimize AI-driven customer interactions through prompt engineering.

By the end of this training, participants will be able to:

• Understand the role of prompt engineering in AI-powered customer interactions.
• Optimize chatbot prompts to enhance user engagement and satisfaction.
• Use AI models effectively to handle customer queries and automate responses.
• Design prompts for complex workflows, escalations, and issue resolution.
• Ensure ethical AI interactions and reduce bias in automated customer service.

This instructor-led, live training in San Antonio (online or onsite) is aimed at intermediate-level professionals who wish to leverage the power of prompt engineering and few-shot learning to optimize LLM performance for real-world applications.

By the end of this training, participants will be able to:

• Understand the principles of prompt engineering and few-shot learning.
• Design effective prompts for various NLP tasks.
• Leverage few-shot techniques to adapt LLMs with minimal data.
• Optimize LLM performance for practical applications.

This instructor-led, live training in San Antonio (online or onsite) is aimed at beginner-level to intermediate-level content creators who wish to leverage AI for storytelling, scriptwriting, and content automation.

By the end of this training, participants will be able to:

• Understand the fundamentals of AI-driven storytelling.
• Use prompt engineering techniques to generate compelling narratives.
• Enhance creativity with AI-assisted content ideation.
• Apply AI to scriptwriting, article writing, and marketing copy.
• Develop structured prompts for personalized content creation.

Course Customization Options

Format of the Course

By the end of this training, participants will be able to:

Prompt Engineering for Software Development is a hands-on course designed to teach developers how to craft effective prompts that optimize the usefulness, precision, and safety of AI-generated outputs in the context of software engineering tasks.

This instructor-led, live training (online or onsite) is aimed at intermediate-level developers who wish to integrate prompt engineering techniques into their use of AI coding assistants, code analyzers, and intelligent automation tools.

• Create precise prompts for code generation, review, and optimization tasks.
• Use prompt chaining and refinement to improve AI responses in iterative workflows.
• Generate structured outputs such as test cases, SQL queries, and documentation from minimal input.
• Mitigate hallucination and improve control over LLM behavior in technical environments.

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

• To request a customized training for this course, please contact us to arrange.

This instructor-led, live training in San Antonio (online or onsite) is aimed at intermediate-level marketing and sales professionals who wish to leverage AI prompt engineering for personalized campaigns, customer engagement, and automated sales processes.

By the end of this training, participants will be able to:

• Understand the fundamentals of AI-driven prompt engineering in marketing and sales.
• Use AI to generate high-converting marketing copy and ad creatives.
• Automate customer engagement with AI-generated responses.
• Leverage AI for data-driven sales insights and forecasting.
• Integrate AI tools into marketing and sales automation workflows.

This instructor-led, live training in San Antonio (online or onsite) is aimed at intermediate-level healthcare professionals and AI developers who wish to leverage prompt engineering techniques for improving medical workflows, research efficiency, and patient outcomes.

By the end of this training, participants will be able to:

• Understand the fundamentals of prompt engineering in healthcare.
• Use AI prompts for clinical documentation and patient interactions.
• Leverage AI for medical research and literature review.
• Enhance drug discovery and clinical decision-making with AI-driven prompts.
• Ensure compliance with regulatory and ethical standards in healthcare AI.

This instructor-led, live training in San Antonio (online or onsite) is aimed at intermediate-level finance professionals and fintech developers who wish to use AI-powered prompt engineering techniques to enhance financial analysis, risk management, and decision-making.

By the end of this training, participants will be able to:

• Understand the fundamentals of prompt engineering in financial applications.
• Leverage AI models for financial forecasting and market sentiment analysis.
• Automate financial reporting and data extraction using AI prompts.
• Develop AI-driven risk assessment models through optimized prompts.
• Ensure compliance and ethical considerations when using AI in finance.

This instructor-led, live training in San Antonio (online or onsite) is aimed at intermediate-level visual content creators who wish to leverage AI for enhanced visual production.

By the end of this training, participants will be able to:

• Craft detailed prompts to generate complex images.
• Understand the nuances of language that influence visual AI output.
• Apply prompt engineering techniques to various forms of visual media.
• Evaluate and refine AI-generated images to meet production standards.

This instructor-led, live training in San Antonio (online or onsite) is aimed at beginner-level to advanced-level developers and researchers who wish to craft effective prompts to elicit desired responses from ChatGPT.

By the end of this training, participants will be able to:

• Understand the principles of prompt engineering for AI models like ChatGPT.
• Design prompts that effectively guide AI to produce desired outcomes.
• Apply ethical considerations in crafting prompts.
• Anticipate and adapt to the evolving landscape of AI interactions.

This instructor-led, live training in San Antonio (online or onsite) is aimed at AI practitioners and enthusiasts who wish to harness the power of prompts to generate impressive and realistic text and images.  

By the end of this training, participants will be able to:

• Have a solid understanding of prompt engineering concepts.
• Write accurate and effective prompts for ChatGPT, Stable Diffusion, DALL-E 2, Leonardo AI, and MidJourney.
• Generate hyper-realistic text and images using the latest tools and techniques in prompt engineering.
• Use AI-powered prompt engineering tools to automate prompt generation.
• Apply prompt engineering to various use cases.
• Incorporate prompt engineering into their own projects and workflows.