Generative AI for Content Marketing and Advertising Training Course

Generative AI for Content Marketing and Advertising Training Course

Overview of the Course

This intensive five-day program is designed to provide mastery over Generative AI, empowering professionals to revolutionize Content Marketing, Digital Advertising, and Creative Strategy through advanced algorithmic tools. Participants will explore the implementation of Large Language Models (LLMs), Diffusion Models, and Multimodal AI to enhance Copywriting, Visual Design, and Social Media Automation. By mastering Prompt Engineering, AI-Driven Personalization, and Synthetic Media, learners will gain the skills necessary to build scalable AI Marketing Campaigns that drive brand engagement and conversion in an evolving digital landscape.

The curriculum transitions from the foundational mechanics of generative models to advanced industrial applications in multi-channel advertising. You will learn to utilize cutting-edge platforms for automated video production, personalized email marketing, and high-fidelity image generation. The training concludes with a rigorous focus on AI ethics, copyright law, and brand safety, ensuring that your AI-integrated marketing workflows are both innovative and compliant with global standards.

Who should attend the training

  • Content Strategists and Copywriters
  • Digital Marketing Managers
  • Creative Directors and Graphic Designers
  • Social Media Specialists
  • Advertising Agency Leads
  • Brand Communications Managers

Objectives of the training

  • To master the principles of generative AI and its transformative impact on the creative economy.
  • To develop high-level prompt engineering skills for text, image, and video generation.
  • To implement AI-driven workflows that reduce content production time while increasing quality.
  • To create hyper-personalized advertising campaigns using consumer data and generative tools.
  • To navigate the legal and ethical landscape of AI-generated content and synthetic media.

Personal benefits

  • Acquire cutting-edge technical skills that are currently in highest demand across the marketing industry.
  • Drastically increase your creative output and efficiency by automating repetitive content tasks.
  • Develop a specialized portfolio featuring AI-enhanced campaigns and high-fidelity synthetic assets.
  • Position yourself as a forward-thinking creative lead capable of managing AI-integrated teams.

Organizational benefits

  • Reduce content production costs significantly by leveraging AI for drafting, design, and editing.
  • Accelerate time-to-market for multi-channel campaigns through rapid prototyping and iteration.
  • Improve campaign performance through data-driven personalization at scale.
  • Future-proof the brand by adopting ethical AI practices and maintaining a competitive technological edge.

Training methodology

  • Instructor-led technical sessions on AI model architectures and capabilities
  • Hands-on laboratory exercises using industry-leading generative tools
  • Real-world case study analysis of successful AI-driven marketing campaigns
  • Interactive design sprints for rapid prototyping of ad creatives
  • Collaborative group projects focused on building an end-to-end AI marketing strategy

Trainer Experience

Our trainers are award-winning creative technologists and AI researchers who have successfully integrated generative workflows into global advertising agencies and Fortune 500 marketing departments. They bring a unique blend of creative intuition and deep technical expertise in machine learning and prompt optimization.

Quality Statement

We are committed to delivering the highest standard of vocational training. Our course modules are updated in real-time to reflect the latest releases in generative models (such as GPT-4, Midjourney, and Sora), ensuring that our participants are trained on the most advanced tools currently available in the market.

Tailor-made courses

We offer customized training solutions tailored to your specific industry vertical or brand requirements. Whether you are focused on high-end fashion imagery, technical B2B copywriting, or automated video ads for e-commerce, we can adapt the technical depth and toolsets to match your organization’s unique creative challenges.

Course duration: 5 days

Training fee: USD 1500



Module 1: Introduction to Generative AI in Marketing

  • Understanding the evolution from Predictive AI to Generative AI in the creative process
  • Overview of the Generative AI landscape: LLMs, Image Gen, and Audio synthesis
  • Identifying high-impact use cases across the marketing funnel
  • Comparison of leading platforms: OpenAI, Anthropic, Google Gemini, and open-source models
  • Setting up the AI marketing stack: Tools, APIs, and workspace integration
  • Practical session: Conducting a "Generative Audit" to identify tasks within your current workflow suitable for AI automation

Module 2: Mastery of Prompt Engineering for Text

  • The anatomy of a perfect prompt: Context, task, persona, and constraints
  • Advanced prompting techniques: Chain-of-Thought, Few-Shot, and Iterative refinement
  • Using AI for long-form content: Blogs, whitepapers, and thought leadership pieces
  • Crafting persuasive ad copy: Utilizing frameworks like AIDA and PAS with AI assistance
  • Overcoming "AI Hallucinations" and maintaining factual accuracy in marketing copy
  • Practical session: Creating a comprehensive content series (Blog, Ad, Email) using iterative prompting techniques

Module 3: Visual Content Creation with Diffusion Models

  • Introduction to Midjourney, DALL-E 3, and Stable Diffusion for commercial design
  • Mastering visual descriptors: Lighting, composition, medium, and art styles
  • Advanced image editing: In-painting, out-painting, and image-to-image transformations
  • Consistency in visual storytelling: Character and style referencing across multiple assets
  • High-fidelity product photography: Generating realistic product placements without a studio
  • Practical session: Generating a professional-grade visual ad campaign for a fictional product launch

Module 4: AI-Powered Social Media and Micro-Content

  • Automated content calendars: Using AI to brainstorm and schedule month-long strategies
  • Platform-specific optimization: Tailoring content for LinkedIn, Instagram, and TikTok
  • Trending topic analysis: Using AI to identify and capitalize on viral cultural moments
  • Automated captioning and hashtag generation for maximum reach and engagement
  • AI-driven community management: Crafting responses and managing social interactions
  • Practical session: Designing a 30-day cross-platform social media campaign using automated AI workflows

Module 5: Personalized Email Marketing and Automation

  • Hyper-personalization: Using customer data to generate unique email content for every recipient
  • AI-driven subject line optimization and A/B testing at scale
  • Creating automated "Drip Campaigns" that adapt based on user behavior and sentiment
  • Utilizing NLP for automated lead nurturing and personalized follow-ups
  • Analyzing email performance metrics to refine generative content strategies
  • Practical session: Setting up an automated email sequence that personalizes content based on user persona data

Module 6: Synthetic Video and AI Motion Graphics

  • Overview of AI video platforms: From text-to-video (Sora, Runway) to talking avatars
  • Script-to-video workflows: Automating the production of explainer and promo videos
  • AI voiceovers and dubbing: Creating multi-language video content with perfect lip-sync
  • Enhancing existing video: AI upscaling, color grading, and object removal
  • The future of commercial film: Integrating synthetic scenes with real-world footage
  • Practical session: Producing a 30-second video advertisement featuring an AI-generated script, voiceover, and visuals

Module 7: AI in Brand Voice and Style Consistency

  • Training AI on brand guidelines: Establishing tone, style, and vocabulary constraints
  • Using RAG (Retrieval-Augmented Generation) to ground AI in company-specific knowledge
  • Developing custom AI personas for different brand segments and sub-brands
  • Automating the "Style Check" process to ensure all generated content is on-brand
  • Maintaining visual identity through custom-trained LoRA models and style filters
  • Practical session: Building a "Brand Voice Guide" within an AI tool and testing it across various content types

Module 8: Data-Driven Advertising and Personalization

  • Integrating AI with CRM data for high-precision behavioral targeting
  • Dynamic Creative Optimization (DCO): Generating thousands of ad variations in real-time
  • Predictive analytics: Using AI to forecast which headlines and images will convert best
  • AI in Search Engine Marketing (SEM): Optimizing bids and ad copy for intent
  • Leveraging AI for audience discovery and niche segment identification
  • Practical session: Creating a multi-variant ad set targeted at three distinct customer personas using AI

Module 9: Ethical AI, Copyright, and Brand Safety

  • Understanding the current legal landscape: Copyright and ownership of AI assets
  • Mitigating algorithmic bias: Ensuring diversity and inclusion in AI-generated visuals
  • Brand Safety: Implementing guardrails to prevent AI from generating inappropriate content
  • Disclosing AI usage: Transparency standards and consumer trust in the digital age
  • Deepfakes and misinformation: Identifying and protecting the brand from synthetic threats
  • Practical session: Conducting a "Risk and Ethics" review on an AI-generated campaign before publication

Module 10: Building an AI Marketing Roadmap

  • Evaluating the ROI of AI: Measuring time saved vs. creative impact
  • Strategic implementation: Scaling AI from a single pilot to the entire department
  • Upskilling the workforce: Managing the transition to AI-integrated creative roles
  • Selecting the right vendors: A checklist for evaluating marketing AI software
  • Future Trends: What’s next for Generative AI in the 2026-2030 marketing landscape
  • Practical session: Drafting a 12-month AI adoption roadmap for your specific marketing team or agency

Requirements:

  • Participants should be reasonably proficient in English.
  • Applicants must live up to Phoenix Training Center admission criteria.

Terms and Conditions

1. Discounts: Organizations sponsoring Four Participants will have the 5th attend Free

2. What is catered for by the Course Fees: Fees cater for all requirements for the training – Learning materials, Lunches, Teas, Snacks and Certification. All participants will additionally cater for their travel and accommodation expenses, visa application, insurance, and other personal expenses.

3. Certificate Awarded: Participants are awarded Certificates of Participation at the end of the training.

4. The program content shown here is for guidance purposes only. Our continuous course improvement process may lead to changes in topics and course structure.

5. Approval of Course: Our Programs are NITA Approved. Participating organizations can therefore claim reimbursement on fees paid in accordance with NITA Rules.

Booking for Training

Simply send an email to the Training Officer on training@phoenixtrainingcenter.com and we will send you a registration form. We advise you to book early to avoid missing a seat to this training.

Or call us on +254720272325 / +254725012095 / +254724452588

Payment Options

We provide 3 payment options, choose one for your convenience, and kindly make payments at least 5 days before the Training start date to reserve your seat:

1. Groups of 5 People and Above – Cheque Payments to: Armstrong Global Training & Development Center Limited should be paid in advance, 5 days to the training.

2. Invoice: We can send a bill directly to you or your company.

3. Deposit directly into Bank Account (Account details provided upon request)

Cancellation Policy

1. Payment for all courses includes a registration fee, which is non-refundable, and equals 15% of the total sum of the course fee.

2. Participants may cancel attendance 14 days or more prior to the training commencement date.

3. No refunds will be made 14 days or less before the training commencement date. However, participants who are unable to attend may opt to attend a similar training course at a later date or send a substitute participant provided the participation criteria have been met.

Tailor Made Courses

This training course can also be customized for your institution upon request for a minimum of 5 participants. You can have it conducted at our Training Centre or at a convenient location. For further inquiries, please contact us on Tel: +254720272325 / +254725012095 / +254724452588 or Email training@phoenixtrainingcenter.com

Accommodation and Airport Transfer

Accommodation and Airport Transfer is arranged upon request and at extra cost. For reservations contact the Training Officer on Email: training@phoenixtrainingcenter.com or on Tel: +254720272325 / +254725012095 / +254724452588

 

Instructor-led Training Schedule

Course Dates Venue Fees Enroll
Aug 03 - Aug 07 2026 Zoom $1,300
Sep 14 - Sep 18 2026 Zoom $1,300
Oct 12 - Oct 16 2026 Zoom $1,300
Nov 09 - Nov 13 2026 Zoom $1,300
Dec 07 - Dec 11 2026 Zoom $1,300
Jan 11 - Jan 15 2027 Zoom $1,300
Aug 24 - Aug 28 2026 Nairobi $1,500
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