CoursesAI for Company
AI For Marketing
AI for Company

AI For Marketing

Learn AI for Marketing with practical training in Generative AI, content creation, SEO, social media, automation, analytics, and AI-powered marketing strategies to build job-ready skills.

5/5(4,890 Reviews)

Level

Advanced

Duration

12 Weeks

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About AI For Marketing

The AI for Marketing Course helps learners understand how Artificial Intelligence and Generative AI are transforming modern digital marketing. The program covers practical applications of AI in content creation, SEO, social media marketing, performance marketing, marketing automation, customer segmentation, and analytics. Participants learn how to use AI marketing tools to research audiences, generate and optimize content, improve campaign strategies, automate repetitive tasks, and make data-driven decisions. The course also introduces prompt engineering, AI-powered advertising, personalization, lead generation, and predictive marketing to help learners build efficient marketing workflows. With hands-on exercises and real-world use cases, this AI Marketing Course is suitable for students, digital marketers, business owners, entrepreneurs, and professionals who want to develop practical AI-powered digital marketing skills and stay competitive in the evolving marketing landscape.

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Training Plan

01
About trainer

About trainer

Working professional who is carrying more than 10 years of industry experience.

02
Decks & Updated Content

Decks & Updated Content

Access to updated presentation decks shared during live training sessions.

03
e-Book

e-Book

E-book provided by TechPratham. All rights reserved.

04
Assignments & MCQs

Assignments & MCQs

Module-wise assignments and MCQs provided for practice.

05
Video Recording

Video Recording

Daily Session would be recorded and shared to the candidate.

06
Projects

Projects

Live projects will be provided for hands-on practice.

07
Resume Building

Resume Building

Expert-guided resume building with industry-focused content support.

08
Interview Preparation

Interview Preparation

Comprehensive interview preparation with real-time scenario practice.

AI For Marketing Course Curriculum

Module 1: Introduction to AI for Marketing

Understand how Artificial Intelligence is transforming organizational marketing. Learn AI fundamentals, Generative AI, LLMs, and practical use cases that help marketing teams improve productivity, planning, research, and business decision-making.

Introduction to Artificial Intelligence
AI and Marketing Fundamentals
Generative AI for Marketing
AI-Powered Marketing Ecosystem
AI Use Cases in Organizations
Benefits and Limitations of AI

Module 2: AI-Powered Marketing Strategy

Learn how marketing teams can use AI to analyze markets, identify opportunities, evaluate competitors, develop strategies, and support data-driven business decisions. Explore AI-assisted planning and scenario analysis for organizational growth.

AI for Marketing Planning
Market Opportunity Analysis
Competitive Intelligence
Strategic Decision-Making
AI-Based Scenario Planning

Module 3: AI for Market Research & Consumer Insights

Use AI to process customer and market information at scale. Learn how organizations can identify consumer trends, segment audiences, analyze sentiment, and convert customer feedback into actionable marketing insights.

AI-Based Market Research
Customer Behavior Analysis
Audience Segmentation
Consumer Trend Analysis
Sentiment Analysis
Voice of Customer

Module 4: Generative AI for Marketing Teams

Learn how marketing departments can use Generative AI to accelerate ideation, research, drafting, personalization, and content workflows while maintaining organizational guidelines, brand consistency, accuracy, and human oversight.

Generative AI Applications
Prompt Engineering
AI-Assisted Content Development
Content Ideation
Content Personalization
AI Content Workflows

Module 5: AI for Customer & Market Personalization

Explore how AI helps organizations understand customer needs and deliver more relevant experiences. Learn segmentation, personalization, customer journey analysis, and predictive insights for improving customer engagement and business outcomes.

AI-Based Customer Segmentation
Personalized Marketing
Customer Journey Analysis
Recommendation Systems
Predictive Customer Insights

Module 6: AI for Marketing Analytics & Decision-Making

Learn how marketing teams can use AI to analyze large datasets, identify patterns, forecast outcomes, monitor KPIs, and support faster strategic decisions. Focus on turning marketing data into actionable business intelligence.

Marketing Data Analysis
Predictive Analytics
Performance Analysis
Forecasting
KPI Intelligence
Data-Driven Decision-Making

Module 7: AI-Powered Marketing Automation

Understand how AI can automate repetitive marketing workflows and improve operational efficiency. Learn where automation and AI agents can support campaign operations, reporting, lead processes, and routine marketing activities.

Marketing Workflow Automation
AI-Assisted Task Automation
Lead Management
Campaign Workflow Optimization
Automated Reporting
AI Agents for Marketing

Module 8: AI for Campaign Planning & Optimization

Learn how marketing organizations can apply AI throughout campaign planning and optimization. Explore audience analysis, forecasting, testing, performance evaluation, and data-supported budget allocation to improve campaign effectiveness.

AI-Assisted Campaign Planning
Audience Analysis
Campaign Forecasting
Creative Testing
Performance Optimization
Budget Allocation Insights

Module 9: AI Tools for Marketing Organizations

Explore categories of AI tools that support modern marketing departments. Learn how to evaluate tools based on business requirements, security, scalability, integration, productivity, and measurable organizational value.

Generative AI Tools
AI Research Tools
Marketing Analytics Tools
AI Productivity Tools
Workflow Automation Platforms
AI Collaboration Tools

Module 10: AI Governance, Ethics & Responsible Marketing

Understand the risks associated with organizational AI adoption. Learn responsible AI practices covering privacy, bias, accuracy, brand safety, human oversight, governance, and policies required for sustainable AI implementation.

Responsible AI
Data Privacy
AI Bias
Brand Safety
Content Accuracy
Human Oversight
AI Governance Policies

Module 11: AI Implementation for Marketing Departments

Learn how organizations can move from AI experimentation to structured implementation. Understand how to identify high-value use cases, assess readiness, create adoption roadmaps, train teams, and measure the business impact of AI initiatives.

AI Readiness Assessment
Identifying AI Use Cases
AI Adoption Roadmap
Process Transformation
Team Training
ROI Measurement

Module 12: Real-World AI Marketing Projects

Apply AI concepts to realistic organizational marketing scenarios. Work on projects involving market intelligence, customer insights, campaign planning, analytics, automation, and AI adoption to develop practical business-focused capabilities.

Market Intelligence Project
Customer Insight Project
AI Campaign Planning
Marketing Analytics Project
Workflow Automation Project
AI Adoption Strategy

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Additional Program Highlights

Learning Materials

Comprehensive study materials and resources

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Resume Writing

Professional resume building session

HD
Interview Preparation

Master your interview skills

HD
Live Project Demo

Real-world project demonstrations

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Upcoming Batches

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Who Should Enroll This Course

IT Professionals

Non-IT Career Switchers

Fresh Graduates

Career Opportunities After AI For Marketing

AI Marketing Manager

AI Marketing Strategist

AI Transformation Consultant – Marketing

Key Projects

Real-World AI For Marketing Projects

Unilever

UnileverAI Customer Insights System


Scenario: The marketing team needed to analyze large volumes of customer feedback and behavior data to identify trends, improve segmentation, and support faster business decisions.

Live Work:

  • Analyze customer feedback using AI
  • Identify customer trends and segments
  • Create actionable insight reports
Outcome: Faster customer insights and decisions
Deloitte

DeloitteAI Marketing Strategy Planner


Scenario: The marketing organization wanted to use AI for market research, competitor intelligence, opportunity analysis, and strategic planning across different business segments.

Live Work:

  • Conduct AI-assisted market research
  • Analyze competitors and market trends
  • Build AI-supported strategy reports
Outcome: Improved strategic marketing planning
Tata Consultancy Services

Tata Consultancy ServicesAI Marketing Workflow Automation


Scenario: The marketing department wanted to reduce repetitive reporting and data-processing work by implementing AI-assisted workflows for routine operational marketing activities.

Live Work:

  • Identify repetitive marketing processes
  • Design AI-assisted workflows
  • Automate routine reporting tasks
Outcome: Reduced manual work for marketing teams
Amazon

AmazonAI Campaign Insights Platform


Scenario: The marketing team wanted AI-driven analysis of campaign data to identify performance patterns, forecast outcomes, and provide actionable insights for strategic decision-making.

Live Work:

  • Analyze campaign performance data
  • Identify trends and performance gaps
  • Generate AI-based campaign insights
Outcome: Better decisions using AI insights
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Our Success Mantra

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Commitment

  • Ensuring quality training every day

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Fulfillment

  • Meeting learning goals with confidence

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Accomplishment

  • Students achieving industry-ready expertise

Our Learner Voice

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Beyond Courses:

Additional Support We Provide

24/7 Support

LinkedIn Profile

Resume Writing

Alumni Sessions

Interview Preparation

Live Projects

What is an AI for Marketing Course?

How to learn to use AI for marketing?

 How can AI help marketing departments?

Who should take an AI for Marketing Course?

How is AI used in marketing organizations?

 Is AI for Marketing useful for corporate marketing teams?

How is Artificial Intelligence changing traditional digital marketing?

What is the difference between Generative AI, Predictive AI, and traditional marketing analytics?

How would you design an AI-powered customer segmentation framework?

What factors should an organization consider when selecting an AI marketing tool?

How can LLMs support market research and competitive intelligence?

How would you measure the ROI of AI implementation in marketing?

AI for Marketing Certification: Validate Your AI Marketing Skills

The AI for Marketing Certification validates your ability to apply Artificial Intelligence and Generative AI to practical marketing functions within modern organizations. It demonstrates knowledge of AI-powered marketing strategy, market research, customer insights, marketing analytics, personalization, workflow automation, and data-driven decision-making. The certification can help professionals demonstrate their ability to identify suitable AI use cases, work with AI marketing tools, develop efficient workflows, and support responsible AI adoption within marketing departments. It also covers important areas such as AI governance, data privacy, human oversight, and responsible use of AI. For marketing professionals, managers, and organizational teams, earning an AI for Marketing Certification can strengthen professional credibility and demonstrate readiness to contribute to AI-driven marketing transformation.

Industry-Recognized Certification

Certificate
AI For Marketing

News Highlights

TechPratham Introduces Hire-Train-Deploy Model to Transform HR & ERP Talent in the AI Era
TechPratham Empowering Future Professionals Through AI-Focused HR & ERP Training

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