Generative AI (Gen AI) Professional Training Program

Topics Covered:

• What is Artificial Intelligence?
• Evolution of AI
• Difference between:
  1. AI vs Machine Learning
  2. Machine Learning vs Deep Learning
  3. Traditional AI vs Generative AI
• What is Generative AI and how it works
• Real-world applications of GenAI
• How companies are using GenAI Today
• Career scope and opportunities in GenAI 

Outcome:

• Strong conceptual clarity of AI and GenAI without technical Complexity

Topics Covered:

• What are Large Language Models (LLMs)?
• How LLMs understand language
• Tokens, context and responses (basic understanding)
• Temperature, creativity and accuracy concept
• Prompt vs outputs relationship
• Strengths and limitations of LLMs
• Common mistakes while using AI tools

Outcome:

• Learners understand how AI thinks and responds, enabling better usage 

Topics Covered:

• What is Prompt Engineering?
• Why prompts matter in AI outputs
• Types of prompts:
  1. Simple prompts
  2. Role-based prompts
  3. Instruction-based prompts
  4. Few-shot prompts
  5. Chain-of-thought prompts
• Prompt structuring techniques
• Prompt optimization and refinement
• Prompt debugging strategies

Hands-on Practice:

• Content writing prompts
• Marketing prompts
• Email and communication prompts
• Resume and interview prompts
• Productivity and daily work prompts

Outcome:
Ability to create powerful, accurate, and reusable prompts.

Topics Covered:

Blog and article generation
Social media content creation
Ad copywriting using AI
SEO-friendly content with GenAI
Image generation concepts
Video script writing using AI
AI tools for marketers and creators

Hands-on Projects:

Blog post creation
Instagram captions and reels script
Google Ads and social ads copy
Content calendar using AI

Outcome:

Learners can independently create high-quality marketing and content assets.

Topics Covered:

• Chat-based AI tools usage
• AI for presentation creation
• AI-powered design tools
• AI video creation tools
• AI productivity & documentation tools
• AI-assisted workflow ideas

Hands-on Practice:

• AI-generated presentations
• AI-designed creatives
• AI-generated videos
• Productivity templates

Outcome:
Practical exposure to multiple AI tools used in real work environments.

Topics Covered:

• Gen AI for customer support
• Gen AI for HR & recruitment
• Gen AI for sales follow-ups
• Gen AI for training & education
• AI as a virtual assistant
• Business case studies of Gen AI implementation

Outcome:
Understanding of how businesses practically use AI to save time and cost.

Topics Covered:

• Introduction to no-code AI tools
• AI + automation fundamentals
• Chatbot logic (non-coding)
• Forms, sheets & AI integration concepts
• Simple AI-assisted workflows

Hands-on:

• Design a basic AI-powered workflow
• Automation idea planning

Outcome:
Ability to think automation-first using AI, even without coding.

Topics Covered:

• Data privacy & security
• Bias in AI systems
• Ethical usage of AI tools
• AI misuse & risks
• Best practices for responsible AI usage

Outcome:
Learners understand safe, ethical, and professional use of AI.

Mini Projects:

• AI Content Creator Toolkit
• AI Marketing Assistant
• Prompt Library for Professionals

Final Capstone Project:

Gen AI Solution for Business / Student / Creator

1. Content-focused OR
2. Productivity-focused OR
3. Marketing / automation-based

Outcome:
Portfolio-ready projects that can be explained in interviews or freelancing.