Chat GPT and other Generative AI Applications for Business

DIXONTECH presents a forward-thinking program on ChatGPT and Generative AI Applications for Business. This course empowers professionals to leverage the power of generative AI for automation, content creation, customer engagement, and decision intelligence. Participants explore prompt engineering, workflow integration, and ethical use of AI tools to transform processes, improve productivity, and create new business value.

TRAINING TOPICS

• FOUNDATIONS OF GENERATIVE AI AND CHATGPT
• PROMPT ENGINEERING AND BUSINESS APPLICATIONS
• AUTOMATION AND PRODUCTIVITY ENHANCEMENT
• AI-DRIVEN CUSTOMER EXPERIENCE AND COMMUNICATION
• ETHICS, SECURITY, AND GOVERNANCE IN AI ADOPTION

BY THE END OF THIS TRAINING COURSE, DELEGATES WILL BE ABLE TO:

• Strategically apply ChatGPT and generative AI tools to enhance innovation and efficiency across business functions.
• Understand generative AI concepts and technologies.
• Build effective prompts for accurate AI responses.
• Automate workflows and decision-making with AI tools.
• Integrate AI into marketing, HR, and operations.
• Evaluate AI’s business value and return on investment.
• Apply governance and responsible AI usage principles.

TRAINING IS TAILORED TO

• Professionals and leaders seeking to utilize AI technologies in their operations.
• Business Executives and Innovation Managers.
• Marketing, HR, and Operations Leaders.
• Data Analysts and AI Enthusiasts.
• IT Managers and Process Automation Specialists.
• Entrepreneurs leveraging AI for growth.
• Consultants advising on AI transformation.

TRAINING METHODOLOGY

The course combines live AI demonstrations, guided prompt-building labs, real business use cases, and hands-on exercises. Participants practice using ChatGPT and other generative AI platforms to automate tasks, design strategies, and create AI-powered outputs relevant to their industries.

DAY 1:

FOUNDATIONS OF GENERATIVE AI AND CHATGPT

• Understanding generative AI: concepts and capabilities.
• How large language models (LLMs) work.
• Overview of ChatGPT, Gemini, and other tools.
• AI vs traditional automation: key distinctions.
• Core business applications and use cases.
• The evolving landscape of AI technologies.

DAY 2:

PROMPT ENGINEERING AND BUSINESS APPLICATIONS

• The art and science of prompt engineering.
• Structuring queries for reliable AI responses.
• Contextual, creative, and analytical prompt design.
• Building AI-assisted reports and summaries.
• Case study: AI-generated content for business use.
• Using AI to enhance strategic and analytical tasks.

DAY 3:

AUTOMATION AND PRODUCTIVITY ENHANCEMENT

• Integrating ChatGPT with workflow tools (Zapier, Notion).
• Automating repetitive tasks and communications.
• AI for data analysis, scheduling, and documentation.
• Intelligent assistants for HR and finance operations.
• Creating AI-driven dashboards and summaries.
• Evaluating time and cost benefits of AI automation.

DAY 4:

AI-DRIVEN CUSTOMER EXPERIENCE AND COMMUNICATION

• Designing chatbots and conversational interfaces.
• AI for personalized marketing and content creation.
• Enhancing customer support with AI assistants.
• Sentiment analysis and customer feedback mining.
• Real-time language translation and engagement tools.
• Measuring customer satisfaction with AI insights.

DAY 5:

ETHICS, SECURITY, AND GOVERNANCE IN AI ADOPTION

• Understanding responsible and ethical AI use.
• Managing data privacy and compliance (GDPR, ISO).
• Addressing AI bias and transparency concerns.
• Building AI governance frameworks and policies.
• Corporate strategies for safe AI deployment.
• Capstone project: developing an AI adoption roadmap.

FORMATTING NOTES:

• Font: Poppins
• Size: 12
• Headings: Uppercase + Bold
• DAY titles: Bold + separate line
• Main titles: Bold + separate line
• Bullets: Standard, one line each (5–10 words)
• Spacing and alignment: Clean professional layout.