AI Mastery for Business Impact
Practical workshops that deliver immediate value to your organization
AI Mastery for Business Impact
Practical workshops that deliver immediate value to your organization
AI Mastery for Business Impact
Practical workshops that deliver immediate value to your organization
AI Mastery for Business Impact
Practical workshops that deliver immediate value to your organization
Complete AI Training Solutions
Syyy Academy offer focused workshops that teach teams how to use AI in everyday work and guide leaders in effective enterprise-wide AI adoption.
Explore Our Workshops
Explore Our Workshops
Master the art of communicating with AI systems to consistently achieve exceptional results.
Prompt Engineering Mastery
18%
Traffic increase after one week
Brad McCoy
Branch Manager @ OpenAI
Master the art of communicating with AI systems to consistently achieve exceptional results.
Prompt Engineering Mastery
Master the art of communicating with AI systems to consistently achieve exceptional results.
Prompt Engineering Mastery
Master the art of communicating with AI systems to consistently achieve exceptional results.
Prompt Engineering Mastery
18%
Traffic increase after one week
Brad McCoy
Branch Manager @ OpenAI
Master the art of communicating with AI systems to consistently achieve exceptional results.
Prompt Engineering Mastery
Master the art of communicating with AI systems to consistently achieve exceptional results.
Prompt Engineering Mastery
Master the art of communicating with AI systems to consistently achieve exceptional results.
Prompt Engineering Mastery
18%
Traffic increase after one week
Brad McCoy
Branch Manager @ OpenAI
Master the art of communicating with AI systems to consistently achieve exceptional results.
Prompt Engineering Mastery
Master the art of communicating with AI systems to consistently achieve exceptional results.
Prompt Engineering Mastery
Master the art of communicating with AI systems to consistently achieve exceptional results.
Prompt Engineering Mastery
18%
Traffic increase after one week
Brad McCoy
Branch Manager @ OpenAI
Master the art of communicating with AI systems to consistently achieve exceptional results.
Prompt Engineering Mastery
Master the art of communicating with AI systems to consistently achieve exceptional results.
Prompt Engineering Mastery
Prompt Engineering Fundamentals
Be the first to know when the product launches and other not-to-miss updates.
Format
Full-day workshop (8 hours)
In-person or virtual
6-12 participants
Format
Full-day workshop (8 hours)
In-person or virtual
6-12 participants
Format
Full-day workshop (8 hours)
In-person or virtual
6-12 participants
Format
Full-day workshop (8 hours)
In-person or virtual
6-12 participants
Format
Full-day workshop (8 hours)
In-person or virtual
6-12 participants
Be the first to know when the product launches and other not-to-miss updates. dfbadfbadfbadfbadfbafdbfa afd ah k hv khb hb lbilub bkibkbkhbkj.
Prompt Engineering Fundamentals
For Whom
Business professionals, knowledge workers, and teams looking to effectively use AI tools in their daily workflow
For Whom
Business professionals
Business professionals
Business professionals
For Whom
Business professionals
Business professionals
Business professionals
Material
Syyy Prompting Playbook
Material
Syyy Prompting Playbook
Material
Syyy Prompting Playbook
Outcomes
Ability to create sophisticated prompts that consistently produce high-quality, targeted results
Mastery of advanced text formatting techniques that improve AI response clarity and precision
Skills to guide AI models through complex reasoning and problem-solving processes
Understanding of when and how to apply different prompting strategies for various use cases
Capability to implement safeguards that prevent unwanted outputs and maintain quality
Proficiency in connecting AI models with external information sources for enhanced responses
Topics covered
Markdown language formatting, XML tags, and delimiter implementation for structured prompts
Zero-shot, one-shot, and few-shot learning techniques with practical applications
Chain of Thought and recursive prompting strategies for complex problem solving
Professional frameworks including Co-star, AUTOMAT, and ReAct with detailed implementation steps
LLM guardrails, jailbreak prevention, and output quality control mechanisms
Retrieval Augmented Generation (RAG) systems and model-specific capability optimization
Outcomes
Ability to create sophisticated prompts that consistently produce high-quality, targeted results
Mastery of advanced text formatting techniques that improve AI response clarity and precision
Skills to guide AI models through complex reasoning and problem-solving processes
Understanding of when and how to apply different prompting strategies for various use cases
Capability to implement safeguards that prevent unwanted outputs and maintain quality
Proficiency in connecting AI models with external information sources for enhanced responses
Topics covered
Markdown language formatting, XML tags, and delimiter implementation for structured prompts
Zero-shot, one-shot, and few-shot learning techniques with practical applications
Chain of Thought and recursive prompting strategies for complex problem solving
Professional frameworks including Co-star, AUTOMAT, and ReAct with detailed implementation steps
LLM guardrails, jailbreak prevention, and output quality control mechanisms
Retrieval Augmented Generation (RAG) systems and model-specific capability optimization
Outcomes
Ability to create sophisticated prompts that consistently produce high-quality, targeted results
Mastery of advanced text formatting techniques that improve AI response clarity and precision
Skills to guide AI models through complex reasoning and problem-solving processes
Understanding of when and how to apply different prompting strategies for various use cases
Capability to implement safeguards that prevent unwanted outputs and maintain quality
Proficiency in connecting AI models with external information sources for enhanced responses
Topics covered
Markdown language formatting, XML tags, and delimiter implementation for structured prompts
Zero-shot, one-shot, and few-shot learning techniques with practical applications
Chain of Thought and recursive prompting strategies for complex problem solving
Professional frameworks including Co-star, AUTOMAT, and ReAct with detailed implementation steps
LLM guardrails, jailbreak prevention, and output quality control mechanisms
Retrieval Augmented Generation (RAG) systems and model-specific capability optimization
Outcomes
Ability to create sophisticated prompts that consistently produce high-quality, targeted results
Mastery of advanced text formatting techniques that improve AI response clarity and precision
Skills to guide AI models through complex reasoning and problem-solving processes
Understanding of when and how to apply different prompting strategies for various use cases
Capability to implement safeguards that prevent unwanted outputs and maintain quality
Proficiency in connecting AI models with external information sources for enhanced responses
Topics covered
Markdown language formatting, XML tags, and delimiter implementation for structured prompts
Zero-shot, one-shot, and few-shot learning techniques with practical applications
Chain of Thought and recursive prompting strategies for complex problem solving
Professional frameworks including Co-star, AUTOMAT, and ReAct with detailed implementation steps
LLM guardrails, jailbreak prevention, and output quality control mechanisms
Retrieval Augmented Generation (RAG) systems and model-specific capability optimization
Outcomes
Ability to create sophisticated prompts that consistently produce high-quality, targeted results
Mastery of advanced text formatting techniques that improve AI response clarity and precision
Skills to guide AI models through complex reasoning and problem-solving processes
Understanding of when and how to apply different prompting strategies for various use cases
Capability to implement safeguards that prevent unwanted outputs and maintain quality
Proficiency in connecting AI models with external information sources for enhanced responses
Topics covered
Markdown language formatting, XML tags, and delimiter implementation for structured prompts
Zero-shot, one-shot, and few-shot learning techniques with practical applications
Chain of Thought and recursive prompting strategies for complex problem solving
Professional frameworks including Co-star, AUTOMAT, and ReAct with detailed implementation steps
LLM guardrails, jailbreak prevention, and output quality control mechanisms
Retrieval Augmented Generation (RAG) systems and model-specific capability optimization
→ Syyy Academy offer focused workshops that.
Workshop →Prompt Engineering Fundamentals
Format
We delve deep into
Services
We delve deep into
Industries
We delve deep into
Date
We delve deep into
Prompt Engineering Fundamentals
We are a team of passionate architects, designers, and engineers dedicated to creating innovative and sustainable designs for our clients. Our company specializes in designing residential homes, commercial buildings, and public spaces that are functional, beautiful, and tailored to meet our clients' needs. We work closely with our clients throughout the design process, from concept development to construction, to ensure that their vision is brought to life.
Schematic Design
Schematic Design
Schematic Design
Schematic Design
Where a preliminary design is created
Design Development
Design Development
Design Development
Design Development
Where details of the design are fleshed out
Construction Documents
Construction Documents
Construction Documents
Construction Documents
Where detailed drawings and specifications are created
Outcomes
Ability to create sophisticated prompts that consistently produce high-quality, targeted results
Mastery of advanced text formatting techniques that improve AI response clarity and precision
Skills to guide AI models through complex reasoning and problem-solving processes
Understanding of when and how to apply different prompting strategies for various use cases
Capability to implement safeguards that prevent unwanted outputs and maintain quality
Proficiency in connecting AI models with external information sources for enhanced responses
Topics covered
Markdown language formatting, XML tags, and delimiter implementation for structured prompts
Zero-shot, one-shot, and few-shot learning techniques with practical applications
Chain of Thought and recursive prompting strategies for complex problem solving
Professional frameworks including Co-star, AUTOMAT, and ReAct with detailed implementation steps
LLM guardrails, jailbreak prevention, and output quality control mechanisms
Retrieval Augmented Generation (RAG) systems and model-specific capability optimization
Outcomes
Ability to create sophisticated prompts that consistently produce high-quality, targeted results
Mastery of advanced text formatting techniques that improve AI response clarity and precision
Skills to guide AI models through complex reasoning and problem-solving processes
Understanding of when and how to apply different prompting strategies for various use cases
Capability to implement safeguards that prevent unwanted outputs and maintain quality
Proficiency in connecting AI models with external information sources for enhanced responses
Topics covered
Markdown language formatting, XML tags, and delimiter implementation for structured prompts
Zero-shot, one-shot, and few-shot learning techniques with practical applications
Chain of Thought and recursive prompting strategies for complex problem solving
Professional frameworks including Co-star, AUTOMAT, and ReAct with detailed implementation steps
LLM guardrails, jailbreak prevention, and output quality control mechanisms
Retrieval Augmented Generation (RAG) systems and model-specific capability optimization
Outcomes
Ability to create sophisticated prompts that consistently produce high-quality, targeted results
Mastery of advanced text formatting techniques that improve AI response clarity and precision
Skills to guide AI models through complex reasoning and problem-solving processes
Understanding of when and how to apply different prompting strategies for various use cases
Capability to implement safeguards that prevent unwanted outputs and maintain quality
Proficiency in connecting AI models with external information sources for enhanced responses
Topics covered
Markdown language formatting, XML tags, and delimiter implementation for structured prompts
Zero-shot, one-shot, and few-shot learning techniques with practical applications
Chain of Thought and recursive prompting strategies for complex problem solving
Professional frameworks including Co-star, AUTOMAT, and ReAct with detailed implementation steps
LLM guardrails, jailbreak prevention, and output quality control mechanisms
Retrieval Augmented Generation (RAG) systems and model-specific capability optimization
Outcomes
Ability to create sophisticated prompts that consistently produce high-quality, targeted results
Mastery of advanced text formatting techniques that improve AI response clarity and precision
Skills to guide AI models through complex reasoning and problem-solving processes
Understanding of when and how to apply different prompting strategies for various use cases
Capability to implement safeguards that prevent unwanted outputs and maintain quality
Proficiency in connecting AI models with external information sources for enhanced responses
Topics covered
Markdown language formatting, XML tags, and delimiter implementation for structured prompts
Zero-shot, one-shot, and few-shot learning techniques with practical applications
Chain of Thought and recursive prompting strategies for complex problem solving
Professional frameworks including Co-star, AUTOMAT, and ReAct with detailed implementation steps
LLM guardrails, jailbreak prevention, and output quality control mechanisms
Retrieval Augmented Generation (RAG) systems and model-specific capability optimization
Outcomes
Ability to create sophisticated prompts that consistently produce high-quality, targeted results
Mastery of advanced text formatting techniques that improve AI response clarity and precision
Skills to guide AI models through complex reasoning and problem-solving processes
Understanding of when and how to apply different prompting strategies for various use cases
Capability to implement safeguards that prevent unwanted outputs and maintain quality
Proficiency in connecting AI models with external information sources for enhanced responses
Topics covered
Markdown language formatting, XML tags, and delimiter implementation for structured prompts
Zero-shot, one-shot, and few-shot learning techniques with practical applications
Chain of Thought and recursive prompting strategies for complex problem solving
Professional frameworks including Co-star, AUTOMAT, and ReAct with detailed implementation steps
LLM guardrails, jailbreak prevention, and output quality control mechanisms
Retrieval Augmented Generation (RAG) systems and model-specific capability optimization
Prompt Engineering Fundamentals
Be the first to know when the product launches and other not-to-miss updates. dfbadfbadfbadfbadfbafdbfa afd ah k hv khb hb lbilub bkibkbkhbkj.
Why Choose Us
Our instructors are active industry executives who use these AI techniques daily in their consulting work. We bring direct experience from international corporate environments rather than academic perspectives.
FAQ
Do participants need to have prior AI experience?
The more prior knowledge participants have, the deeper we can dive during our time together, but generally no prior experience is required.
Do participants need to have prior AI experience?
The more prior knowledge participants have, the deeper we can dive during our time together, but generally no prior experience is required.
Do participants need to have prior AI experience?
The more prior knowledge participants have, the deeper we can dive during our time together, but generally no prior experience is required.
Do participants need to have prior AI experience?
The more prior knowledge participants have, the deeper we can dive during our time together, but generally no prior experience is required.
Is there a discount for booking multiple workshops?
Yes, we offer a 20% discount on follow-up workshops.
Is there a discount for booking multiple workshops?
Yes, we offer a 20% discount on follow-up workshops.
Is there a discount for booking multiple workshops?
Yes, we offer a 20% discount on follow-up workshops.
Is there a discount for booking multiple workshops?
Yes, we offer a 20% discount on follow-up workshops.
What is the cancellation policy?
You can cancel up to 7 days before the workshop without any costs. After that, the full amount will be charged, but the workshop can be rescheduled at a later date at no additional cost.
What is the cancellation policy?
You can cancel up to 7 days before the workshop without any costs. After that, the full amount will be charged, but the workshop can be rescheduled at a later date at no additional cost.
What is the cancellation policy?
You can cancel up to 7 days before the workshop without any costs. After that, the full amount will be charged, but the workshop can be rescheduled at a later date at no additional cost.
What is the cancellation policy?
You can cancel up to 7 days before the workshop without any costs. After that, the full amount will be charged, but the workshop can be rescheduled at a later date at no additional cost.
Do you provide certificates of completion?
Yes, each participant receives a certificate from the Syyy Academy.
Do you provide certificates of completion?
Yes, each participant receives a certificate from the Syyy Academy.
Do you provide certificates of completion?
Yes, each participant receives a certificate from the Syyy Academy.
Do you provide certificates of completion?
Yes, each participant receives a certificate from the Syyy Academy.
Is there a minimum number of participants required?
The minimum is 3 participants. For individual coaching, please contact us directly.
Is there a minimum number of participants required?
The minimum is 3 participants. For individual coaching, please contact us directly.
Is there a minimum number of participants required?
The minimum is 3 participants. For individual coaching, please contact us directly.
Is there a minimum number of participants required?
The minimum is 3 participants. For individual coaching, please contact us directly.
Last-minute illness policy?
This can always happen. If participants become ill at short notice, we don't charge any fees for their participation.
Last-minute illness policy?
This can always happen. If participants become ill at short notice, we don't charge any fees for their participation.
Last-minute illness policy?
This can always happen. If participants become ill at short notice, we don't charge any fees for their participation.
Last-minute illness policy?
This can always happen. If participants become ill at short notice, we don't charge any fees for their participation.
About
Global mindset, local impact.
Questioning the future together. We build teams across cultures and countries, believing different perspectives strengthen solutions. We foster direct communication and equal partnerships.
Global mindset, local impact.
Questioning the future together. We build teams across cultures and countries, believing different perspectives strengthen solutions. We foster direct communication and equal partnerships.
Global mindset, local impact.
Questioning the future together. We build teams across cultures and countries, believing different perspectives strengthen solutions. We foster direct communication and equal partnerships.
Career
Shape technology with us.
Join a team that questions and shapes the future of technology. We welcome both experienced professionals and recent graduates who think independently and act decisively.
Shape technology with us.
Join a team that questions and shapes the future of technology. We welcome both experienced professionals and recent graduates who think independently and act decisively.
Shape technology with us.
Join a team that questions and shapes the future of technology. We welcome both experienced professionals and recent graduates who think independently and act decisively.
Outcomes
Ability to create sophisticated prompts that consistently produce high-quality, targeted results
Mastery of advanced text formatting techniques that improve AI response clarity and precision
Skills to guide AI models through complex reasoning and problem-solving processes
Understanding of when and how to apply different prompting strategies for various use cases
Capability to implement safeguards that prevent unwanted outputs and maintain quality
Proficiency in connecting AI models with external information sources for enhanced responses
Topics covered
Markdown language formatting, XML tags, and delimiter implementation for structured prompts
Zero-shot, one-shot, and few-shot learning techniques with practical applications
Chain of Thought and recursive prompting strategies for complex problem solving
Professional frameworks including Co-star, AUTOMAT, and ReAct with detailed implementation steps
LLM guardrails, jailbreak prevention, and output quality control mechanisms
Retrieval Augmented Generation (RAG) systems and model-specific capability optimization
Outcomes
Ability to create sophisticated prompts that consistently produce high-quality, targeted results
Mastery of advanced text formatting techniques that improve AI response clarity and precision
Skills to guide AI models through complex reasoning and problem-solving processes
Understanding of when and how to apply different prompting strategies for various use cases
Capability to implement safeguards that prevent unwanted outputs and maintain quality
Proficiency in connecting AI models with external information sources for enhanced responses
Topics covered
Markdown language formatting, XML tags, and delimiter implementation for structured prompts
Zero-shot, one-shot, and few-shot learning techniques with practical applications
Chain of Thought and recursive prompting strategies for complex problem solving
Professional frameworks including Co-star, AUTOMAT, and ReAct with detailed implementation steps
LLM guardrails, jailbreak prevention, and output quality control mechanisms
Retrieval Augmented Generation (RAG) systems and model-specific capability optimization
Prompt Engineering Fundamentals
Be the first to know when the product launches and other not-to-miss updates.
Format
Full-day workshop (8 hours)
In-person or virtual
6-12 participants
For Whom
Business professionals, knowledge workers, and teams looking to effectively use AI tools in their daily workflow
Material
Syyy Prompting Playbook