### Course Overview
- **Course Title:** Certified Generative AI & Transformers
- **Instructor:** Muhammad Shafiq (Data Scientist | AI & ML Engineer | Lecturer | Researcher)
- **Target Audience:**
- Aspiring **AI engineers** and **data scientists**
- **Developers** looking to specialize in **Generative AI** and **Transformer models**
- **Researchers** and **students** in **machine learning** and **deep learning**
- Professionals seeking **certification in AI** for career advancement
- **Prerequisites:**
- Basic understanding of **Python programming**
- Familiarity with **machine learning** fundamentals
- Prior exposure to **deep learning** concepts (recommended but not mandatory)
### Curriculum Highlights
- **Key Topics Covered:**
- **Transformer Architecture** (Encoder, Decoder, Self-Attention, Multi-Head Attention)
- **BERT (Encoder-only)** vs. **GPT (Decoder-only)** comparisons
- **Large Language Models (LLMs)** and **prompt engineering**
- **Fine-tuning techniques** (e.g., **LoRA - Low-Rank Adaptation**)
- **Model quantization** for optimized inference
- **Multimodal Generative AI** (e.g., **Diffusion Models** for text-to-image generation)
- **Hugging Face ecosystem** for model deployment
- Practical **Generative AI applications** (e.g., ChatGPT, Midjourney)
- **Key Skills Learned:**
- Implementing **Transformer models** from scratch
- Designing and optimizing **Generative AI pipelines**
- Applying **advanced prompt engineering** for LLMs
- Fine-tuning and deploying **pre-trained models** (e.g., BERT, GPT)
- Quantizing models for **faster inference**
- Building **text-to-image generation** systems
- Using **Hugging Face tools** for production deployment
### Course Format
- **Duration:** Self-paced (video lectures + **3 practice tests**)
- **Format:**
- **On-demand video lectures**
- **Mobile-accessible** content
- **Hands-on coding exercises**
- **Resources:**
- **Downloadable code templates**
- **Quizzes** for reinforcement
- **Practice tests** (3 included)
- **Certification** upon completion
### Special Offer (If Applicable)
- **Limited Time Coupon Code:** N/A
