Generative AI and Prompt Engineering for Corporate Professionals Training Course

Vertex AI provides advanced tools for fine-tuning large models and managing prompts, enabling developers and data teams to optimize model accuracy, streamline iteration workflows, and ensure evaluation rigor with built-in libraries and services.

This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level practitioners who wish to improve performance and reliability of generative AI applications using supervised fine-tuning, prompt versioning, and evaluation services in Vertex AI.

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

• Apply supervised fine-tuning techniques to Gemini models in Vertex AI.
• Implement prompt management workflows including versioning and testing.
• Leverage evaluation libraries to benchmark and optimize AI performance.
• Deploy and monitor improved models in production environments.

Format of the Course

• Interactive lecture and discussion.
• Hands-on labs with Vertex AI fine-tuning and prompt tools.
• Case studies of enterprise model optimization.

Course Customization Options

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

This instructor-led, live training in the US (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.

Generative AI is a technology that creates new content such as text, images, and recommendations based on prompts and data.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level healthcare professionals who wish to use generative AI and prompt engineering to improve efficiency, accuracy, and communication in medical contexts.

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

• Understand the fundamentals of generative AI and prompt engineering.
• Apply AI tools to streamline clinical, administrative, and research tasks.
• Ensure ethical, safe, and compliant use of AI in healthcare.
• Optimize prompts to achieve consistent and accurate results.

Format of the Course

• Interactive lecture and discussion.
• Practical exercises and case studies.
• Hands-on experimentation with AI tools.

Course Customization Options

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

Prompt Engineering is the practice of designing and refining prompts to get desired outputs from large language models.

This instructor-led, live training (online or onsite) is aimed at beginner-level participants who wish to learn foundational prompt design techniques and apply them to common tasks.

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

• Explain why prompt engineering matters and where it adds value.
• Design clear, effective prompts for a variety of simple tasks.
• Apply basic prompt patterns and templates to improve outputs.
• Evaluate and iterate prompts to reduce errors and unwanted responses.

Format of the Course

• Short interactive lecture and live examples.
• Hands-on, instructor-guided prompt exercises.
• Group discussion and quick feedback loops.

Course Customization Options

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

This instructor-led, live training in the US (online or onsite) is aimed at ML engineers and platform teams who need to build robust operational pipelines for LLM-powered applications at scale.

This instructor-led, live training in the US (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 the US (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 the US (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 the US (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.

Prompt engineering has become the practical skill that turns generative AI from a novelty into a reliable workhorse for content, image, and video creation. This instructor-led training introduces the discipline from the ground up, then advances participants through few-shot adaptation techniques and the leading creative AI platforms. The course balances concept and practice, with guided exercises in ChatGPT, Microsoft Copilot, Google Gemini, Claude, DALL-E, Stable Diffusion, MidJourney, Leonardo AI, and multimodal tools, without requiring any programming background. Participants leave with the ability to generate hyper-realistic text, images, and video assets and embed prompt-driven workflows into their daily work.

This instructor-led, live training in the US (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 the US (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 the US (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 the US (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 the US (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.