What Is Generative AI?
Generative AI refers to AI systems capable of generating or transforming content based on instructions and available information.
These systems can support everyday professional work across many formats, helping people move faster without sacrificing human judgment.
- Text generation
- Image generation
- Video generation
- Audio generation
- Document analysis
- Code generation
- Presentation creation
- Data interpretation
Generative AI Tools Covered
Training introduces platforms relevant to real workplace workflows. The exact mix is customized to the audience.
ChatGPT
For writing, research, analysis, brainstorming, documents and productivity.
Claude
For writing, reasoning, document analysis and structured workflows.
Gemini
For research, content creation and Google ecosystem workflows.
Microsoft Copilot
For productivity within Microsoft workplace applications.
Perplexity
For AI-assisted research and information discovery.
NotebookLM
For working with provided documents and knowledge sources.
Generative AI for Business
Organizations can explore GenAI applications across departments. The goal is to identify tasks where AI reduces effort, improves consistency or accelerates decisions.
- HR
- Marketing
- Sales
- Finance
- Operations
- Customer service
- Research
- Leadership
- Knowledge management
Department-wise GenAI Applications
Generative AI for HR
Potential applications include:
- Job descriptions
- Recruitment communication
- Interview preparation
- HR documentation
- Employee communication
- Learning content
Generative AI for Marketing
AI can support:
- Content ideation
- Campaign concepts
- Social media
- SEO
- Research
- Copywriting
- Customer personas
Generative AI for Sales
Possible workflows include:
- Prospect research
- Account research
- Proposal creation
- Sales communication
- Meeting preparation
- Follow-ups
Generative AI for Manufacturing
Manufacturing and engineering organizations can explore AI for:
- Documentation
- SOPs
- Technical communication
- Research
- Reports
- Knowledge management
- Productivity
- Process documentation
Multimodal Generative AI
Modern AI is increasingly multimodal. Training can introduce workflows involving combinations of text, image, audio, video, documents and data.
This enables professionals to move beyond traditional text-based AI usage and build richer outputs.
- Text + Image
- Audio + Video
- Documents + Data
- Cross-format workflows
Generative AI for Productivity
Participants can learn practical workflows for everyday tasks, focusing on saving time while keeping quality high.
- Meetings
- Reports
- Research
- Presentations
- Documents
- Planning
- Brainstorming
- Communication
- Knowledge management
Generative AI and Prompt Engineering
Prompt engineering is an important part of effective GenAI usage. Participants learn how to provide clear instructions that improve output quality.
- Context
- Role
- Objective
- Instructions
- Constraints
- Examples
- Output format
- Quality criteria
Generative AI Automation
The training can introduce AI-assisted automation for repeatable workflows that consume time each week.
- Content
- Reports
- Lead workflows
- Documents
- Customer communication
- Research
- Internal knowledge
AI Agents
Advanced programs can introduce the concept of AI agents: systems that run multi-step tasks with defined goals and human oversight.
- What AI agents are
- How agentic workflows differ from simple prompting
- Multi-step AI tasks
- Human oversight
- Automation opportunities
- Business applications
Responsible Generative AI
Responsible usage is an essential component of AI adoption. Training can cover awareness around key risks and controls.
- Privacy
- Confidential information
- Data handling
- Accuracy
- Hallucinations
- Human verification
- Copyright considerations
- Organizational policies
- Responsible AI usage
Generative AI Workshop
A practical workshop can include guided labs that let participants apply GenAI to real tasks.
Lab 1
Create a professional document using AI.
Lab 2
Analyze a business document.
Lab 3
Create a presentation workflow.
Lab 4
Develop a department-specific prompt.
Lab 5
Build an AI-assisted workflow.
Lab 6
Identify an automation opportunity.
Training for Different Experience Levels
Beginner
Understand AI fundamentals and safe usage.
Intermediate
Develop advanced prompts and workflows.
Advanced
Explore automation, AI agents and enterprise applications.
Leadership
Focus on strategy, adoption, governance and transformation.
Related pages
Frequently asked questions
What is Generative AI training?
Generative AI training teaches participants how to understand and use AI systems that generate or transform text, images, audio, video, documents and other content.
Who should attend GenAI training?
Professionals, employees, managers, executives, entrepreneurs, educators, students and business owners can benefit.
Is GenAI training suitable for corporate teams?
Yes. Corporate programs can be customized by department and business objective.
Which Generative AI tools are covered?
Programs may include ChatGPT, Claude, Gemini, Microsoft Copilot, Perplexity, NotebookLM and other relevant tools.
Can the training be delivered online?
Yes. Sessions can be conducted on-site across India or live online for distributed teams.
Do participants get hands-on practice?
Yes. Workshops include guided labs where participants build real documents, prompts, presentations and workflows using AI.
Is responsible AI covered?
Yes. The program covers privacy, confidentiality, hallucination awareness, human verification and organizational AI-use policy.
Build Your Generative AI Capability
Generative AI is becoming an important workplace capability. Share your team size, departments and preferred format. You receive a customized Generative AI training proposal within 24 hours.