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Course Description

Animeria Generative AI Professional Certification Program

Duration: 6 Months
Eligibility: Undergraduate Students, Graduates & Working Professionals
Learning Mode: Practical + Project Based
Level: Beginner to Advanced
Focus: AI Tools + Prompt Engineering + Automation + Business Applications + AI Projects

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Course Description

Animeria Generative AI is transforming the way professionals and businesses work. From content creation and data analysis to marketing, software development, research and business automation, AI is becoming an essential workplace skill.

Animeria 6-Month Generative AI Professional Certification Program is designed for undergraduate students, graduates and working professionals who want to build practical AI skills and learn how to use Generative AI for real-world professional applications.

The course goes beyond basic ChatGPT usage. Students learn Generative AI concepts, advanced prompt engineering, AI-powered content creation, AI-assisted productivity, data analysis, automation, AI agents, APIs and industry-specific applications.

The program is designed around hands-on learning, assignments and real-world projects so that students can build a practical AI portfolio by the end of the course.

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What You Will Learn

By the end of the program, students will be able to:

• Understand AI, Machine Learning and Generative AI fundamentals

• Work effectively with leading Generative AI tools

• Create professional prompts for different business requirements

• Generate text, images, presentations, videos and voice content using AI

• Use AI for research, documentation and professional communication

• Analyze and interpret data using AI

• Use AI for Excel, reports and business presentations

• Build AI-powered workflows and automations

• Understand AI Agents and Agentic AI

• Understand APIs and AI integrations

• Apply AI to Marketing, HR, Sales, Finance, Education and Business

• Build real-world AI projects and a professional portfolio

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MODULE 1 — AI & Generative AI Fundamentals

Introduction to Artificial Intelligence

• What is Artificial Intelligence?

• Evolution of AI

• AI vs Machine Learning vs Deep Learning

• What is Generative AI?

• Traditional AI vs Generative AI

• Generative AI use cases

• AI in modern businesses

Understanding Generative AI

• How Generative AI works

• Large Language Models — LLMs

• Understanding tokens and context

• Text generation

• Image generation

• Audio and voice generation

• Video generation

• Multimodal AI

Popular AI Platforms

• ChatGPT

• Google Gemini

• Claude

• Microsoft Copilot

• Perplexity

• NotebookLM

Responsible AI

• AI limitations

• Hallucinations

• Copyright and intellectual property

• Data privacy

• AI ethics

• Responsible use of AI

Practical Training

Students will perform AI research tasks, content generation exercises and comparative testing of different AI platforms.

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MODULE 2 — Prompt Engineering

Topics Covered

• What is Prompt Engineering?

• Anatomy of an effective prompt

• Role prompting

• Context prompting

• Instruction prompting

• Task-based prompting

• Zero-shot prompting

• Few-shot prompting

• Structured prompting

• Output formatting

• Prompt optimisation

• Prompt evaluation

• Creating reusable prompt templates

• Professional and business prompts

• Research prompts

• Marketing prompts

• Data-analysis prompts

• Content-generation prompts

Advanced Prompting

• Multi-step prompting

• Iterative prompting

• Context management

• Working with long documents

• AI-assisted research

• Prompt libraries

• Creating professional AI workflows

Practical Projects

Students create their own Professional Prompt Library containing prompts for:

Marketing | HR | Sales | Research | Content | Finance | Education | Business

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MODULE 3 — AI Content Creation & Creative Applications

AI Writing

• Blog writing

• Article creation

• Social media content

• Ad copywriting

• Email writing

• Website content

• Product descriptions

• Scripts

• Business proposals

• Reports

• SEO content

AI Image Generation

• AI image concepts

• Text-to-image generation

• Image prompting

• Creative direction

• Marketing creatives

• Product visuals

• Social media creatives

• Brand visuals

AI Presentation Creation

• AI-powered presentations

• Presentation structure

• Business presentations

• Pitch decks

• Educational presentations

• Visual storytelling

AI Video & Audio

• AI video generation

• AI video editing

• AI avatars

• AI voice generation

• Voiceovers

• Script-to-video workflows

• Short-form video creation

• Social media video production

Practical Project

AI-Powered Digital Content Campaign

Students create a complete campaign containing:

Content + Images + Presentation + Video + Voiceover + Social Media Posts

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MODULE 4 — AI for Office, Data & Business Productivity

AI for Office Productivity

• AI-assisted emails

• Document creation

• Report writing

• Meeting summaries

• Business documentation

• Research assistance

• Presentation creation

• Task planning

• Professional communication

AI + Excel & Data

• AI-assisted Excel

• Formula generation

• Data cleaning

• Data interpretation

• Data summarisation

• Charts and insights

• Report generation

• AI-assisted data analysis

AI for Business

• Market research

• Competitor analysis

• Customer analysis

• Business strategy

• Sales support

• Lead analysis

• Customer support

• HR assistance

• Recruitment support

• Business reporting

Practical Project

AI Business Intelligence Project

Students take a sample business dataset and use AI to generate:

Analysis → Insights → Charts → Report → Business Recommendations

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MODULE 5 — AI Automation & AI Agents

AI Automation

• What is AI Automation?

• Workflow automation

• No-code AI automation

• Connecting AI with business tools

• Automated content workflows

• Automated email workflows

• Lead management

• Customer support automation

• Data processing automation

Tools & Platforms

• Zapier

• Make

• AI-powered productivity tools

• AI integrations

• Workflow builders

Introduction to AI Agents

• What are AI Agents?

• AI Assistants vs AI Agents

• Agentic AI

• AI decision-making workflows

• Multi-step AI tasks

• Agent-based business applications

• Human-in-the-loop workflows

Practical Projects

Students create an AI Automation Workflow, such as:

Lead → AI Processing → Data Entry → Email/Message → Follow-up

or

Customer Query → AI Analysis → Response → Escalation

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MODULE 6 — Advanced Generative AI & Capstone Project

Advanced Generative AI

• Advanced LLM concepts

• Multimodal AI

• AI Agents

• Agentic workflows

• Knowledge-based AI systems

• RAG — Retrieval-Augmented Generation

• AI + external data

• AI APIs

• AI integrations

• AI application concepts

Career & Industry Applications

Students explore practical applications of AI in:

• Marketing

• Finance

• HR

• Sales

• Education

• IT

• Data Analytics

• Content Creation

• E-commerce

• Customer Service

• Business Operations

Final Capstone Project

Every student completes a real-world Generative AI project.

Examples:

• AI Marketing Assistant

• AI HR Assistant

• AI Research Assistant

• AI Sales Assistant

• AI Customer Support System

• AI Content Creation System

• AI Business Analytics Assistant

• AI Automation Workflow

Students present their project at the end of the course.

Tools Covered

Students get hands-on exposure to a wide range of modern AI tools, including:

ChatGPT | Google Gemini | Claude | Microsoft Copilot | Perplexity | NotebookLM | Canva AI | AI Image Tools | AI Video Tools | AI Voice Tools | Gamma | Zapier | Make | AI APIs & Integrations

Tools may be updated during the program as the Generative AI ecosystem evolves.

Industry Demand for Generative AI

Generative AI is no longer limited to software companies. AI skills are increasingly relevant across technology, marketing, finance, education, healthcare, consulting and business operations.

The World Economic Forum's Future of Jobs Report 2025 identifies AI and Big Data as the fastest-growing skill category for 2025–2030, while AI and Machine Learning Specialists are among the fastest-growing technology roles.

The report also estimates that 170 million new jobs could be created globally by 2030, while 92 million jobs could be displaced, resulting in a net increase of 78 million jobs. It also highlights the need for significant workforce upskilling as job skills continue to change.

In India, recent workforce research also points to a major gap between using AI tools and actually building AI-powered workflows, automations and applications—which makes practical AI training particularly valuable.

Why Learn Generative AI?

AI is becoming a workplace skill, not just a technical skill.

Professionals who know how to combine their existing domain knowledge with AI can use it to:

• Automate repetitive work

• Increase productivity

• Analyse information faster

• Create content faster

• Improve decision-making

• Build AI-powered workflows

• Develop new digital services
  

Career Opportunities

After completing the course, students can target AI-enabled roles across multiple industries.

Job Roles

1. Generative AI Specialist
2. AI Prompt Engineer
3. AI Content Specialist
4. AI Automation Specialist
5. AI Marketing Specialist
6. AI Business Analyst
7. AI Productivity Specialist
8. AI Research Assistant
9. AI Operations Executive
10. AI Solutions Associate
11. AI Content & Creative Specialist
12. AI Workflow & Agent Specialist

Expected Salary Packages in India

Indicative Salary Range

Important: These are indicative industry ranges, not guaranteed placement salaries. Candidates with strong programming, data, automation, API/integration or AI implementation skills may qualify for higher-paying roles.

Who Can Join This Course?

Undergraduate Students

Ideal for students pursuing:

• BCA

• B.Tech

• B.Sc

• BBA

• B.Com

• BA

• Other undergraduate programs

Working Professionals

Suitable for professionals from:

IT | Marketing | Sales | HR | Finance | Operations | Education | Design | Content | Management | Business

Entrepreneurs & Business Owners

Learn how to use AI for:

Marketing | Customer Support | Research | Content | Sales | Data Analysis | Business Automation

Course Outcome

After 6 months, students will not just know “What is ChatGPT?”

They will understand how to:

Use AI → Create with AI → Analyse with AI → Automate with AI → Build AI Workflows → Apply AI to Business

And most importantly, they will have practical projects that can be added to their portfolio and discussed in job interviews.

Certification

Certificate in Generative AI Professional Skills

6 Months | Practical Training | Industry-Oriented Curriculum | Projects & Portfolio