AI and Machine Learning: Code, Train, & Deploy
Provides hands-on training in AI and machine learning, covering data preprocessing, classical ML, deep learning, NLP, reinforcement learning, and model deployment. Students will work with tools like Python, TensorFlow, and cloud platforms, culminating in a capstone project focused on real-world AI applications and ethical considerations.
What you’ll learn
In this Course, you'll learn the following:
- Fundamentals of AI and machine learning
- Data preprocessing and exploratory data analysis
- Supervised and unsupervised learning techniques
- Deep learning with TensorFlow and PyTorch
- Natural language processing (NLP) and transformers
- Reinforcement learning and its applications
- Model deployment using cloud platforms and MLOps
- Ethical considerations in AI and responsible development
Course Objectives
Course Prerequisites
What does this course look like?
This 16-week program combines hands-on learning with real-world applications, guiding students through key AI and machine learning concepts. Through interactive coding exercises and projects, learners will work with tools like TensorFlow, PyTorch, and cloud platforms. The course covers data preprocessing, machine learning models, deep learning, natural language processing, and reinforcement learning. It concludes with a capstone project, allowing students to apply their skills to a real-world AI challenge.
Who is it for?
This course is designed for individuals who are eager to deepen their understanding and practical skills in data science and analytics.
It caters to aspiring data scientists, analysts, professionals seeking to transition into data-related roles, as well as anyone interested in harnessing the power of data for informed decision-making.
Whether you have a background in technology, business, or any field where data plays a crucial role, this course will equip you with the necessary tools and knowledge to excel in the dynamic world of data science.
How much does this course cost?
Course Syllabus
- Introduction to AI and Machine Learning
- Python for AI/ML: Advanced concepts and libraries (NumPy, Pandas, Scikit-learn)
- Development environments: Jupyter, Google Colab, VS Code
- Version control with Git and GitHub
- Data acquisition techniques (APIs, web scraping)
- Data cleaning and preprocessing
- Feature engineering and selection
- Exploratory data analysis with Matplotlib and Seaborn
- Supervised learning: Linear/Logistic Regression, Decision Trees, Random Forests
- Unsupervised learning: K-Means, Hierarchical Clustering, PCA
- Model evaluation and validation techniques
- Hyperparameter tuning and cross-validation
- Neural network architectures
- Backpropagation and optimization algorithms
- Introduction to TensorFlow and PyTorch
- Building and training basic neural networks
- Convolutional Neural Networks (CNNs) for computer vision
- Recurrent Neural Networks (RNNs) and LSTMs for sequence data
- Transfer learning and fine-tuning pre-trained models
- Generative Adversarial Networks (GANs)
View the full program syllabus, click for access!
Cohort Schedule
Cohort Time Schedule
Cohort Schedule
Not sure about
Here’s what our instructor has to say
Want to learn full stack web development but don’t know where to start? Consider signing up to learn full stack with Python.
Python is easy to learn and great for back-end coding. The popularity of Python as a programming language is on the upsurge, thanks to its readability and ability to do more with less coding. If you are looking for a course that offers Python web development for beginners, look no further. Our online course allows you to learn full stack web development with Python at your own pace from the comfort of your home.
Our Java full stack developer course is designed to kickstart your programming career as a Java full stack developer. We regularly update our Java full stack developer course to make sure it is relevant and useful for our students. If you want to join our full stack JavaScript course, but aren’t sure if you have time to attend the classes, don’t worry. We schedule our classes on weekends and weekday evenings. Even if you work full-time, you can still attend our classes.
No, a basic level of computer literacy and a motivation to learn is all you need for most of our courses.
Our courses are designed for diverse backgrounds; If programming or tech is a career track that you really want to pursue, you may sign-up for our courses whether you are software engineer, product/program manager, analyst, researcher, consultant, student, etc.
It can vary depending on your unique background. However, it usually takes 18 hours/week outside of the classroom for homework and study time.
Yes, you will be given a certificate of completion for any course, after you pass the final exam.
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