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Diploma in Generative AI & Prompt Engineering
Perfect for beginners, 12th-pass students, and career switchers. Build strong foundations in AI/ML, Python, prompt engineering, LLMs, and hands-on projects in text, vision & multimodal AI.
What You’ll Learn
- •Python programming for AI applications
- •Advanced prompt engineering techniques
- •Understanding and using Large Language Models
- •Text-to-image & image-to-text generation
- •Multimodal AI systems
- •Building complete GenAI applications
- •Professional portfolio creation
- •Job-ready skills for AI roles
Curriculum
- •Python Basics for AI
- •Data Structures & Libraries
- •Intro to AI/ML Concepts
- •Git & Version Control
- •Linear Algebra & Calculus Basics
- •Probability & Statistics
- •Data Handling with Pandas
- •Visualization for AI
- •Core Prompting Techniques
- •Chain-of-Thought & Few-Shot
- •Role Prompting
- •Prompt Optimization
- •Transformer Architecture
- •LLM Families (GPT, LLaMA, etc.)
- •Inference & API Usage
- •Fine-tuning Basics
- •Text Generation
- •Summarization & Rewriting
- •Chatbot Development
- •RAG Systems
- •Diffusion Models
- •Stable Diffusion
- •Image Editing & Inpainting
- •Vision-Language Models
- •CLIP & BLIP
- •GPT-4V / LLaVA-style models
- •Multimodal Prompting
- •Video Generation Basics
- •Tree-of-Thoughts
- •ReAct & Agent Frameworks
- •Self-Consistency Prompting
- •Prompt Chaining
- •LoRA & QLoRA
- •Model Quantization
- •Deploying LLMs (vLLM, TGI)
- •API Development
- •Project Ideation
- •Data Collection
- •Model Selection & Prompt Design
- •Initial Implementation
- •Advanced Features
- •User Interface Integration
- •Evaluation & Testing
- •Documentation
- •Portfolio Building
- •GitHub Showcase
- •Interview Prep
- •Job Application Strategy
Instructor

Shagun Srivastava
Lead Instructor – Generative AI
Experienced AI educator with expertise in LLMs, prompt engineering, and applied GenAI.
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