200+ Days: The Complete Pro AIMLDL & Data Science Bootcamp™
Mastering Data Science, Machine Learning (ML), Deep Learning (DL), and Generative AI (GenAI) from beginner to expert
1
students
82 hours
content
Jul 2025
last update
$19.99
regular price
What you will learn
Understand the fundamentals of Artificial Intelligence, Machine Learning, Data Science Deep Learning and Becoming Pro.
Gain deep knowledge of supervised, unsupervised, and reinforcement learning techniques.
Learn how to clean, explore, and visualize data using Python and powerful libraries like Pandas and Matplotlib.
Master statistical analysis, hypothesis testing, and inferential statistics for data-driven decision making.
Build strong foundations in Linear and Logistic Regression, Decision Trees, and Random Forests.
Learn to evaluate model accuracy using metrics such as precision, recall, F1-score, and ROC-AUC.
Perform hyperparameter tuning and model optimization using Grid Search and Random Search.
Understand dimensionality reduction techniques including PCA and t-SNE.
Implement real-world clustering algorithms like K-Means and DBSCAN.
Develop expertise in Support Vector Machines (SVM) and Kernel Functions.
Apply K-Nearest Neighbors and Gradient Boosting models to classification and regression tasks.
Understand the complete data science lifecycle from problem definition to business impact.
Master end-to-end feature engineering and feature selection techniques for model improvement.
Learn how to handle imbalanced datasets and apply advanced sampling strategies like SMOTE.
Gain hands-on experience with model deployment using Flask, Docker, and cloud services.
Develop working knowledge of MLOps tools and CI/CD workflows in machine learning projects.
Analyze case studies across healthcare, finance, retail, marketing, and energy domains.
Understand the ethical implications and responsibilities of AI and data-driven decision making.
Master Generative AI tools including ChatGPT, Gemini, Claude, and open-source models.
Create and fine-tune LLMs for specific business use cases using Hugging Face Transformers.
Understand the architecture and capabilities of transformer-based models like BERT and GPT.
Build interactive AI agents, chatbots, and autonomous workflows using LangChain and vector databases.
Apply deep learning frameworks such as TensorFlow and PyTorch for computer vision and NLP.
Work on real-world capstone projects across industries to demonstrate your applied expertise.
Receive global certification and mentorship to become an ethical and innovative AI leader.
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6748065
udemy ID
30/07/2025
course created date
05/08/2025
course indexed date
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