Course Includes:
- Price: FREE
- Enrolled: 3672 students
- Language: English
- Certificate: Yes
- Difficulty: Advanced



Welcome to the Certified Generative AI & Transformers course, designed to transform you into a professional capable of understanding, building, and deploying the most impactful AI models of the modern era. This comprehensive curriculum dives deep into the technology powering ChatGPT, Midjourney, and other revolutionary applications.
Decoding the Transformer Architecture The cornerstone of this course is the deep dive into the Transformer architecture. You will not only understand the Encoder and Decoder blocks but also implement the core logic of the revolutionary Self-Attention mechanism and Multi-Head Attention from scratch. We meticulously compare and contrast variations like BERT (Encoder-only) and GPT (Decoder-only), providing you with a rock-solid theoretical foundation essential for innovation.
Mastering Generative Models We move beyond theory into cutting-edge applications. You will learn practical skills for working with state-of-the-art Large Language Models (LLMs), including advanced prompt engineering techniques, efficient fine-tuning strategies (like LoRA), and model quantization for faster inference. The course also dedicates significant time to understanding multimodal Generative AI, specifically covering the mechanics and application of Diffusion Models for text-to-image generation.
Practical Deployment & Certification Focus This course emphasizes practical deployment using the powerful Hugging Face ecosystem. You will learn how to select, optimize, and deploy models efficiently in production environments. By the end, you will possess a certification-ready understanding of Generative AI, positioning you as a leading expert in this rapidly expanding field. This course bridges the gap between theoretical knowledge and real-world deployment challenges.
Deep Learning & Neural Networks: Master CNNs, RNNs, Transformers, and prepare for industry certification using PyTorch
Master Computer Vision & Image Processing: OpenCV, Deep Learning, AI Applications & Real-World Projects
NLP & Deep Learning: Master Text Preprocessing, Embeddings, Transformers, & LLMs for Advanced AI Applications.
Unsupervised Learning & Clustering: K-Means, Hierarchical, DBSCAN, GMM, PCA for Data Science & ML Mastery.
Master Supervised Machine Learning & AI: Regression, Classification, Model Evaluation, and Ensemble Methods
Master Time Series & Forecasting: ARIMA, SARIMA, Prophet, and Python for practical business predictions.
Master Statistical Inference & Hypothesis Testing for Data Science: P-values, Confidence Intervals, A/B Testing Sampling
Master EDA & Data Visualization in Python: Cleaning, Statistical Analysis, Feature Engineering & Interactive Plots.
Data Analysis & Python: Master Pandas & NumPy for Data Cleaning, Manipulation, Visualization, and Exploration.
Master Data Science & Machine Learning: Python, SQL, Statistics, and AI for real-world applications.
Deep RL & Sequential Decision Making: Master Q-Learning, Policy Gradients, DQN, and PPO Implementation for Certification
Master Data Science & Machine Learning: Python, Statistics, SQL, & Tableau for real-world projects.
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