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Generative AI for Sales and Marketing Professionals Training

Generative AI for Sales and Marketing Professionals Training — Train Point Institute Dubai

Learn to use generative AI for lead generation, sales outreach, market research, content creation, campaigns and commercial performance. Two-day practical training in Dubai.

Course overview

The Generative AI for Sales and Marketing Professionals Training is a practical, hands-on course designed to help commercial teams use generative AI more effectively across the complete customer journey.

Participants will learn how to use AI for customer and competitor research, lead generation, sales prospecting, personalized communication, proposal development, marketing content, campaign planning, and performance analysis.

The course combines trainer demonstrations, guided practice, and realistic sales and marketing exercises. Participants will develop structured prompts, reusable templates, and practical AI-assisted workflows they can apply immediately in their roles.

The training also covers key considerations, including customer data confidentiality, factual accuracy, brand consistency, intellectual property, bias, and responsible review of AI-generated content.

A practical, two-day training course designed to help sales and marketing professionals use generative AI for research, lead generation, personalized outreach, content creation, campaign planning and commercial performance.

  • Practical use of leading generative AI tools

  • AI-assisted lead generation and sales prospecting

  • Personalized emails, proposals and follow-up communication

  • Marketing content and campaign development

  • Sales and marketing analysis and workflow improvement

Location
Dubai / Client Premises / Online
Duration
2 Days – 14 Training Hours
Language
English
Course Level
Beginner to Intermediate
Certification
TPI Certificate of Completion
Course Type
Classroom / Corporate Onsite / Live Online
Technical Requirement
Laptop with internet access
Corporate Group Rates
Corporate Group Rates Available
Public Batch
Public Batch Schedule & Fees Available

Why This Training Matters

  • Conduct faster customer, market, and competitor research
  • Develop clearer customer and buyer profiles
  • Improve sales prospecting and lead-personalization activities
  • Prepare professional outreach and follow-up communication
  • Create proposals, presentations, and campaign content more efficiently
  • Generate multiple content ideas without losing brand consistency
  • Analyze sales and marketing information more effectively
  • Develop repeatable commercial workflows and prompt templates
  • Protect customer and organizational information
  • Apply human review before using AI-generated content externally
  • This is not simply a content-writing course. It covers practical AI applications across sales, business development, marketing, and customer engagement.

Who should enroll

  • Sales executives and sales managers
  • Business development professionals
  • Marketing executives and managers
  • Digital marketing professionals
  • Account managers and key-account teams
  • Commercial managers
  • Customer engagement professionals
  • Brand and communications teams
  • Content and social-media professionals
  • Entrepreneurs and business owners
  • Professionals responsible for proposals, campaigns or client communication
  • Teams looking to improve sales and marketing productivity using AI
  • No previous AI knowledge, coding experience or technical background is required.

What you will learn

Key skills and outcomes you will build throughout this programme.

  • Create sales proposals, presentations and meeting briefs
  • Generate marketing content and campaign ideas
  • Adapt content for different audiences and channels
  • Support customer segmentation and personalisation
  • Analyse campaign and sales information
  • Build reusable prompt templates and commercial workflows
  • Maintain brand voice and communication standards
  • Identify inaccurate, biased or unsuitable AI-generated content
  • Protect customer and organisational information

Training Structure

(2 Days – 14 Training Hours) — 8 Modules

Day 1: AI for Research, Lead Generation and Sales Enablement

Generative AI Foundations for Sales and Marketing

Duration: 1 Hour

  • What generative AI is and how it works
  • Difference between generative AI, automation and traditional software
  • Overview of commonly used AI tools
  • Applications across sales, business development and marketing
  • Strengths and limitations of AI-generated content
  • Understanding inaccurate or fabricated information
  • Customer-data and confidentiality considerations
  • Identifying suitable and unsuitable commercial tasks
  • Importance of professional judgement and final review

Live Demonstration The trainer compares a general instruction with a structured commercial prompt to demonstrate the difference in relevance, personalisation and output quality.

Prompt Engineering for Commercial Professionals

Duration: 1 Hour 30 Minutes

  • Why sales and marketing prompts produce generic results
  • Providing customer, product and market context
  • Defining a clear commercial objective
  • Identifying the correct audience
  • Selecting the appropriate tone
  • Requesting a particular response format
  • Providing examples and brand guidelines
  • Adding limitations and exclusions
  • Improving outputs through follow-up prompts
  • Asking AI to critique and improve its own output
  • Developing reusable prompt templates
  • Practical Prompt Structure
  • Participants learn to define:
  • Task: What needs to be completed
  • Context: Product, company, customer or market background
  • Audience: Prospect, existing customer or target segment
  • Objective: Awareness, engagement, conversion or retention
  • Tone: Professional, persuasive, consultative or conversational
  • Format: Email, proposal, campaign brief, table or presentation
  • Constraints: Length, brand guidelines, claims or exclusions
  • Practical Activities
  • Participants improve prompts for:
  • Customer research
  • Sales outreach
  • Marketing campaigns
  • Proposals
  • Social-media content
  • Follow-up communication

AI for Customer, Market and Competitor Research

Duration: 2 Hours

  • Structuring customer and market research
  • Developing buyer and decision-maker profiles
  • Identifying customer needs, challenges and priorities
  • Researching companies and industries
  • Preparing competitor-comparison frameworks
  • Reviewing competitor positioning and messaging
  • Identifying market trends and commercial opportunities
  • Summarising large amounts of research
  • Developing research briefs
  • Separating verified information from assumptions
  • Fact-checking AI-generated research
  • Using research to prepare sales and marketing recommendations

Practical Exercise Participants complete a structured research activity for a selected product, service, market or customer segment and prepare a concise commercial briefing.

AI for Lead Generation, Prospecting and Sales Outreach

Duration: 2 Hours 30 Minutes

  • Defining the ideal customer profile
  • Developing prospecting criteria
  • Preparing account and prospect research briefs
  • Identifying relevant customer challenges
  • Creating personalised outreach messages
  • Drafting introductory emails
  • Preparing LinkedIn outreach content
  • Creating follow-up sequences
  • Developing discovery questions
  • Preparing sales-call agendas
  • Drafting meeting briefs
  • Summarising sales-call notes
  • Creating post-meeting follow-up communication
  • Developing objection-handling responses
  • Maintaining natural and professional personalisation
  • Avoiding inaccurate or misleading claims
  • Sales Prospecting Workflow
  • 1. Define the ideal customer
  • 2. Research the organisation or prospect
  • 3. Identify likely business priorities
  • 4. Develop the value proposition
  • 5. Prepare personalised outreach
  • 6. Create follow-up communication
  • 7. Record the next action
  • Practical Exercise
  • Participants develop a personalised prospecting and outreach sequence for a realistic sales opportunity.

Day 2: Marketing Content, Commercial Communication and Performance

AI for Sales Proposals, Presentations and Client Communication

Duration: 1 Hour 30 Minutes

  • Preparing proposal structures
  • Creating executive summaries
  • Developing solution and benefit statements
  • Adapting proposals for different clients
  • Preparing presentation outlines
  • Drafting slide content and speaker notes
  • Creating sales-meeting briefs
  • Developing product and service explanations
  • Simplifying technical information
  • Preparing negotiation points
  • Drafting responses to client objections
  • Creating professional follow-up communication
  • Reviewing commercial documents for clarity and consistency

Practical Activity Participants prepare or improve one sales proposal, client presentation or commercial communication.

AI for Marketing Content and Campaign Development

Duration: 1 Hour 30 Minutes

  • Developing campaign objectives
  • Creating audience-specific campaign messages
  • Generating campaign concepts and themes
  • Preparing campaign briefs
  • Creating social-media content
  • Drafting email-marketing content
  • Developing landing-page copy
  • Preparing article and blog structures
  • Creating advertisement variations
  • Repurposing content across different channels
  • Adapting content for different customer segments
  • Maintaining brand voice and tone
  • Reviewing AI-generated claims before publication
  • Avoiding repetitive and generic AI content
  • Practical Exercise
  • Participants develop a mini campaign including:
  • Target audience
  • Main message
  • Content themes
  • Email or social content
  • Call to action
  • Review checklist

AI for Customer Segmentation, Personalisation and Performance Analysis

Duration: 1 Hour 30 Minutes

  • Understanding customer segmentation
  • Creating segment-specific messaging
  • Personalising communication at different stages of the customer journey
  • Analysing customer feedback
  • Summarising survey and campaign information
  • Reviewing sales results and pipeline information
  • Identifying patterns and performance gaps
  • Preparing campaign-performance commentary
  • Generating management-ready summaries
  • Developing recommendations based on available data
  • Distinguishing findings from AI-generated assumptions
  • Validating calculations and performance conclusions

Practical Exercise Participants review a sample commercial dataset or campaign summary and prepare key findings, recommendations and a management update.

Building Commercial AI Workflows, Responsible Use and Capstone

Duration: 2 Hours 30 Minutes

  • Moving from individual prompts to repeatable workflows
  • Creating shared prompt libraries
  • Standardising sales and marketing outputs
  • Developing approval and review steps
  • Maintaining brand consistency
  • Protecting customer and company information
  • Recognising biased or inappropriate content
  • Intellectual-property and content-ownership considerations
  • Reviewing factual claims
  • Preventing unsupported promises
  • Maintaining human accountability
  • Developing responsible AI-use guidelines for commercial teams
  • Commercial Workflow Framework
  • INPUT → INSTRUCTION → OUTPUT → REVIEW → APPROVAL
  • • Input: Customer, product, market or campaign information
  • • Instruction: Structured commercial prompt
  • • Output: Draft communication, research or content
  • • Review: Accuracy, tone, brand and compliance check
  • • Approval: Final human authorisation
  • Capstone Options
  • Participants select one practical activity:
  • • Develop a sales-prospecting workflow
  • • Create a personalised outreach campaign
  • • Prepare a customer and competitor research briefing
  • • Build a sales proposal and presentation
  • • Develop a marketing campaign
  • • Create a reusable commercial prompt library
  • • Analyse commercial performance information
  • Participants prepare, review, refine and present their completed commercial output or workflow.

Assessment

Participants will be assessed through practical exercises and real-world task simulations.

Upon successful completion

  • Certificate of Completion from Train Point Institute

Training methodology

  • Live demonstrations
  • Hands-on exercises
  • Real-world use cases
  • Practice-based learning
  • Trainer-led guidance

Certificates & Professional Credentials

Receive the applicable professional certificate or attested attendance certificate upon successful completion of your training.

Certificate of Completion

Participants receive a Certificate of Completion issued by Train Point Institute, a KHDA-licensed training institute in Dubai, confirming completion of the training.

Meet your trainer

Our Trainers

Our AI Trainers brings practical, hands-on knowledge across key areas of Generative AI, helping professionals and businesses understand and apply AI tools to real-world tasks and workflows.

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