Course Includes:
- Price: FREE
- Enrolled: 3781 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.
CRC Practice Tests: 560 Questions on Risk Adjustment, HCC Coding, and Documentation
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
Deep RL & Sequential Decision Making: Master Q-Learning, Policy Gradients, DQN, and PPO Implementation for Certification
Big Data & Analytics: Master Hadoop, HDFS, Spark RDDs & DataFrames for Certification Success and Scalable Solutions.
NoSQL & Graph Databases Certification: Mastering Data Modeling, MongoDB, Cassandra, and Neo4j for Modern Applications.
Statistical Modelling & Inference | Linear Regression, Generalized Linear Models (GLMs), Hypothesis Testing & Practical
Advanced SQL & Databases: Data Modeling, Analytical Functions, and Seamless Integration with Python for Data Science.
Pandas Data Mastery: Clean Data, Handle Missing Values, Feature Engineering, and Build Scalable Preparation Pipelines.
Master EDA & Data Visualization in Python: Cleaning, Statistical Analysis, Feature Engineering & Interactive Plots.
Master Data Science & Machine Learning: Python, Statistics, SQL, & Tableau for real-world projects.
Master Data Science & Machine Learning: Python, SQL, Statistics, and AI for real-world applications.
Data Analysis & Python: Master Pandas & NumPy for Data Cleaning, Manipulation, Visualization, and Exploration.
Anomaly Detection & Outlier Analytics: Mastering Isolation Forest, One-Class SVM, LOF, and Time Series for Fraud.
Master Apache Spark, Kafka, Databricks, Airflow, Snowflake, ETL/ELT Pipelines and Data Modeling with real-world practice
Master Penetration Testing, OWASP Top 10, IAM, Cryptography, Network Security, SIEM, and Incident Response
Master Agile Methodologies, Product Discovery, Scrum Framework, User Stories, Roadmap Planning, and Product Metrics
Master Financial Statement Analysis, DCF Valuation, LBOs, M&A Accretion/Dilution, and Excel Financial Modeling with real