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Enterprise Generative AI Guide
Learn how to integrate ChatGPT, Claude and LLMs into your business processes securely.
Presentation
Master ChatGPT, Claude and LLMs to transform your business processes with generative artificial intelligence
Objectives
- Understand the fundamentals of LLMs and generative AI
- Master prompt engineering for optimal results
- Integrate ChatGPT and Claude into your daily workflows
- Evaluate AI risks and opportunities for your business
- Create concrete use cases for your industry
Target Audience
- →Managers and decision-makers wanting to understand AI potential
- →Marketing and communications professionals
- →Developers and technical teams
- →Innovation and digital transformation leaders
- →Consultants and trainers
Prerequisites
Basic computer knowledge. No prior AI experience required. A laptop with internet access is needed.
Detailed Program
- •History and evolution of AI: from Machine Learning to LLMs
- •Understanding GPT, Claude, Gemini: architectures and differences
- •Capabilities and limitations of current models
- •Ethical considerations and algorithmic bias
Frequently Asked Questions
Prerequisites
Basic computer knowledge. No prior AI experience required. A laptop with internet access is needed.
Target Audience
- →Managers and decision-makers wanting to understand AI potential
- →Marketing and communications professionals
- →Developers and technical teams
- →Innovation and digital transformation leaders
- →Consultants and trainers
Detailed Curriculum
Module 1: Generative AI Fundamentals
- →History and evolution of AI: from Machine Learning to LLMs
- →Understanding GPT, Claude, Gemini: architectures and differences
- →Capabilities and limitations of current models
- →Ethical considerations and algorithmic bias
Module 2: Advanced Prompt Engineering
- →Anatomy of an effective prompt
- →Techniques: few-shot, chain-of-thought, role-playing
- →Iterative prompt optimization
- →Context and memory management
Module 3: Business Use Cases
- →Customer support automation
- →Content creation and copywriting
- →Document analysis and information extraction
- →Programming assistance and code review
Module 4: Integration and Deployment
- →OpenAI and Anthropic APIs: technical integration
- →Data security and GDPR compliance
- →Token costs and optimization
- →RAG (Retrieval Augmented Generation): principles and implementation
Expected Outcomes
Understand the fundamentals of LLMs and generative AI
Master prompt engineering for optimal results
Integrate ChatGPT and Claude into your daily workflows
Evaluate AI risks and opportunities for your business
Create concrete use cases for your industry
Companies in Shanghai using this training
- SAIC Motor - Awareness training for 500+ employees
- China Eastern Airlines - Ongoing certification program
- ICBC - Security audit and custom training
- Zhangjiang Hi-Tech Park startups - Monthly group training sessions
Regulatory Compliance
MLPS (Multi-Level Protection Scheme), Cybersecurity Law of China, PIPL (Personal Information Protection Law), growing ISO 27001 adoption
FAQs
Ready to get started?
Next session in Shanghai
February 22, 2026