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.

Syyy Academy offer focused workshops that teach teams how to use AI in everyday work and guide leaders in effective enterprise-wide AI adoption.

The image featured at the bottom of the about us page
The image featured at the bottom of the about us page
The image featured at the bottom of the about us page

Explore Our Workshops

Explore Our Workshops

Explore Our Workshops

Prompt Engineering Mastery

Everyone has communicated with AI, but few achieve truly remarkable results. Did you know professional prompts can span hundreds of lines and follow sophisticated structures? This workshop takes you from basic interactions to mastery, revealing the techniques professionals use to consistently get exceptional outputs from AI systems. Learn the structured approaches, hidden commands, and strategic frameworks that transform casual prompting into a powerful skill.

Format

Format

Format

Full-day workshop (8 hours)

In-person or virtual

6-12 participants

Full-day workshop (8 hours)

In-person or virtual

6-12 participants

For Whom

For Whom

For Whom

Suitable for beginners as well as those with initial experience using AI systems who want to significantly improve their results.

Suitable for beginners as well as those with initial experience using AI systems who want to significantly improve their results.

Materials & Resources

Materials & Resources

Materials & Resources

→ Syyy AI Fieldbook
→ Certificate of Participation

→ Syyy AI Fieldbook
→ Certificate of Participation

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

AI Foundations: Theory to Practice

An introductory workshop that bridges theoretical AI concepts with practical applications. Participants explore the evolution of AI, understand how neural networks function, and gain hands-on experience with a range of AI capabilities from data analysis to creative content generation. This workshop demystifies AI for those new to the technology.

Format

Format

Format

Full-day workshop (8 hours)

In-person or virtual

6-12 participants

Full-day workshop (8 hours)

In-person or virtual

6-12 participants

For Whom

For Whom

For Whom

Beginners with no prior AI experience, including both technical and non-technical professionals.

Materials & Resources

Materials & Resources

Materials & Resources

→ Syyy AI Fieldbook
→ Certificate of Participation

→ Syyy AI Fieldbook
→ Certificate of Participation

Outcomes

Comprehensive understanding of AI capabilities across different application areas

Ability to identify suitable AI tools and platforms for specific business challenges

Hands-on experience with fundamental AI applications in text, image, and audio

Confidence in crafting basic prompts to achieve desired results from AI systems

Practical framework for evaluating where AI can add value in your work processes

Topics covered

Evolution of AI and fundamental neural network concepts

Comparative analysis of leading AI platforms and capabilities

Text generation, management, and basic prompt engineering

Visual content creation with AI (image and video technologies)

Audio synthesis and voice application technologies

Data analysis and business process automation applications

Outcomes

Comprehensive understanding of AI capabilities across different application areas

Ability to identify suitable AI tools and platforms for specific business challenges

Hands-on experience with fundamental AI applications in text, image, and audio

Confidence in crafting basic prompts to achieve desired results from AI systems

Practical framework for evaluating where AI can add value in your work processes

Topics covered

Evolution of AI and fundamental neural network concepts

Comparative analysis of leading AI platforms and capabilities

Text generation, management, and basic prompt engineering

Visual content creation with AI (image and video technologies)

Audio synthesis and voice application technologies

Data analysis and business process automation applications

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

Executive AI Transformation Workshop

This workshop equips executives with the strategic understanding needed to lead AI initiatives across their organization. Beginning with an analysis of the current AI landscape and competitive positioning, we explore concrete implementation opportunities from process automation to employee augmentation. We address the critical aspects of change management, data compliance considerations, and implementation approaches that determine success. Through real-world case studies and interactive exercises, leaders develop a practical framework for creating their organization's AI transformation roadmap.

Format

Format

Format

Full-day workshop (8 hours)

In-person or virtual

3-8 participants

Full-day workshop (8 hours)

In-person or virtual

3-8 participants

For Whom

For Whom

For Whom

C-suite executives, department heads, and decision-makers responsible for digital transformation and business strategy.

C-suite executives, department heads, and decision-makers responsible for digital transformation and business strategy.

Materials & Resources

Materials & Resources

Materials & Resources

→ Syyy Prompting Playbook
→ Certificate of Participation

→ Syyy Prompting Playbook
→ Certificate of Participation

Outcomes

Strategic understanding of the current AI landscape and competitive positioning

Ability to identify and prioritize high-value AI implementation opportunities across the organization

Framework for effective change management to support AI adoption among employees

Knowledge of data compliance requirements and hosting considerations for AI implementation

Capability to develop a phased AI integration roadmap aligned with business objectives

Confidence in communicating AI strategy to various stakeholders throughout the organization

Topics covered

AI landscape analysis and competitive positioning - current adoption rates and key players

Strategic AI implementation opportunities - process automation, employee augmentation, and integration approaches

Change management for AI adoption - addressing resistance, workforce evolution, and productivity enhancement

Data compliance, security, and hosting considerations - GDPR, cloud vs. on-premise, and legal requirements

Outcomes

Strategic understanding of the current AI landscape and competitive positioning

Ability to identify and prioritize high-value AI implementation opportunities across the organization

Framework for effective change management to support AI adoption among employees

Knowledge of data compliance requirements and hosting considerations for AI implementation

Capability to develop a phased AI integration roadmap aligned with business objectives

Confidence in communicating AI strategy to various stakeholders throughout the organization

Topics covered

AI landscape analysis and competitive positioning - current adoption rates and key players

Strategic AI implementation opportunities - process automation, employee augmentation, and integration approaches

Change management for AI adoption - addressing resistance, workforce evolution, and productivity enhancement

Data compliance, security, and hosting considerations - GDPR, cloud vs. on-premise, and legal requirements

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

Tailored Workshops for Your Specific Needs

We customize each workshop by first analyzing your organization's specific workflows. For staff training, we observe daily tasks to create relevant exercises. For leadership sessions, we examine your structure and goals to identify AI transformation opportunities. This ensures every workshop delivers immediate value specific to your business needs.

Practical AI for Everyday Workflows

A customized training program based on preliminary workplace analysis. This workshop addresses specific tasks and challenges in participants' daily routines, delivering immediately applicable AI skills that enhance productivity in their particular role and environment.

Format

Format

Format

Full-day workshop (8 hours / preceded by a workplace analysis phase)

In-person or virtual

6-125 participants

Full-day workshop (8 hours / preceded by a workplace analysis phase)

In-person or virtual

6-125 participants

For Whom

For Whom

For Whom

Teams and departments looking to implement AI tools in their specific workflows. Ideal for operational staff, knowledge workers, and their direct managers.

Teams and departments looking to implement AI tools in their specific workflows. Ideal for operational staff, knowledge workers, and their direct managers.

Materials & Resources

Materials & Resources

Materials & Resources

→ Syyy AI Fieldbook
→ Certificate of Participation

→ Syyy AI Fieldbook
→ Certificate of Participation

Outcomes

Ability to identify repetitive tasks and processes suitable for AI enhancement

Skills to implement AI tools directly into daily workflows for immediate productivity gains

Techniques for optimizing existing work processes through appropriate AI application

Strategies for collaborative work between humans and AI systems

Confidence in selecting the right AI tools for specific departmental challenges

Measurable efficiency improvements in targeted work processes

Topics covered

Workflow analysis and AI opportunity identification for specific roles

Practical AI implementation in common business applications and tools

Task automation for routine communications, reporting, and documentation

Content creation, analysis, and optimization with AI assistants

Integration strategies for AI within existing business systems and processes

Performance measurement and continuous improvement of AI-enhanced workflows

Outcomes

Ability to identify repetitive tasks and processes suitable for AI enhancement

Skills to implement AI tools directly into daily workflows for immediate productivity gains

Techniques for optimizing existing work processes through appropriate AI application

Strategies for collaborative work between humans and AI systems

Confidence in selecting the right AI tools for specific departmental challenges

Measurable efficiency improvements in targeted work processes

Topics covered

Workflow analysis and AI opportunity identification for specific roles

Practical AI implementation in common business applications and tools

Task automation for routine communications, reporting, and documentation

Content creation, analysis, and optimization with AI assistants

Integration strategies for AI within existing business systems and processes

Performance measurement and continuous improvement of AI-enhanced workflows

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

AI Strategy Sparring: Executive Deep Dive

This highly personalized workshop analyzes your specific business model and organizational structure to create a tailored AI transformation strategy. We apply the same comprehensive framework as our Executive AI Transformation Workshop, but with complete customization to your company's unique situation. From assessing your current AI readiness to developing a company-specific implementation roadmap, this collaborative session serves as a strategic sparring partner that addresses your particular challenges, compliance requirements, and organizational culture.

Format

Format

Format

Two half-day sessions (4 hours each)
Pre-workshop analysis and follow-up implementation support

In-person or virtual

3-6 participants

Two half-day sessions (4 hours each)
Pre-workshop analysis and follow-up implementation support

In-person or virtual

3-6 participants

For Whom

For Whom

For Whom

Senior executives, founders, and business owners responsible for organizational strategy and innovation initiatives.

Senior executives, founders, and business owners responsible for organizational strategy and innovation initiatives.

Materials & Resources

Materials & Resources

Materials & Resources

→ Executive AI Transformation Roadmap
→ Certificate of Participation

→ Executive AI Transformation Roadmap
→ Certificate of Participation

Outcomes

Custom assessment of AI opportunities specific to your company's unique business model

Company-specific roadmap for AI implementation aligned with your organizational structure

Tailored change management approach for your specific corporate culture and workforce

Clear understanding of data compliance requirements based on your industry and data assets

Prioritized list of high-value AI implementation projects for your specific business context

Executive team alignment on your organization's unique AI transformation strategy

Topics covered

Detailed analysis of your organization's current AI readiness and competitive positioning

Identification of company-specific process automation and employee augmentation opportunities

Customized change management approach for your organizational structure and culture

Industry-specific compliance and security considerations for your particular data landscape

Personalized implementation roadmap with resource planning tailored to your capabilities

Strategic prioritization framework customized to your business objectives and constraints

Outcomes

Custom assessment of AI opportunities specific to your company's unique business model

Company-specific roadmap for AI implementation aligned with your organizational structure

Tailored change management approach for your specific corporate culture and workforce

Clear understanding of data compliance requirements based on your industry and data assets

Prioritized list of high-value AI implementation projects for your specific business context

Executive team alignment on your organization's unique AI transformation strategy

Topics covered

Detailed analysis of your organization's current AI readiness and competitive positioning

Identification of company-specific process automation and employee augmentation opportunities

Customized change management approach for your organizational structure and culture

Industry-specific compliance and security considerations for your particular data landscape

Personalized implementation roadmap with resource planning tailored to your capabilities

Strategic prioritization framework customized to your business objectives and constraints

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

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.

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.

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.

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.

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.