Name: Artificial Intelligence Journey: Beginner to Pro
Availability: InStock

What You'll Learn

Understand core concepts of Artificial Intelligence, including Machine Learning, Deep Learning, and Neural Networks.
Build and train predictive AI models using Python libraries like NumPy, Pandas, TensorFlow, and PyTorch.
Apply AI techniques to solve real-world problems in Computer Vision, Natural Language Processing (NLP), and Generative AI.
Develop and deploy end-to-end AI applications using Flask, Streamlit, and Cloud platforms like AWS, Azure, or Google Cloud.
Implement model evaluation and optimization techniques, including accuracy, precision, recall, F1-score, and hyperparameter tuning.
Design responsible and ethical AI systems by understanding bias, transparency, and fairness principles in AI development.

Requirements

Basic computer literacy — knowing how to install software and use simple commands.
A fundamental understanding of Python (even beginner-level) will be useful but not mandatory.
Access to a laptop or desktop with an internet connection for hands-on coding labs.
A willingness to learn by doing, experiment, and build real-world AI projects step by step.

tudents and beginners who want to start a career in AI, Data Science, or Machine Learning with a structured, hands-on learning path
Professionals from tech or non-tech backgrounds aiming to upskill and understand how AI transforms industries like healthcare, finance, and automation.
Programmers and data enthusiasts who want to build real-world AI models and deploy them using modern tools like TensorFlow, PyTorch, Flask, and Streamlit.
Entrepreneurs and innovators who wish to leverage AI applications and generative technologies to bring new ideas to life.
Educators and researchers seeking to apply AI in research projects or teach foundational AI concepts effectively.

Bridging knowledge to industry with Data & AI education

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39,181 Students

16 Courses

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