AI Courses: Data Science and Machine Learning (ML)
- Duration 6 Months
- Beginner to Advanced
- 35 Students
About AI Courses
The AI Courses: Data Science and Machine Learning (ML) program provides a comprehensive introduction to artificial intelligence, with a focus on data science, predictive analytics, and machine learning techniques. This course is designed for those aiming to develop practical skills in analyzing data, building machine learning models, and applying AI solutions to real-world problems. Through engaging projects and industry-relevant case studies, you’ll gain hands-on experience with popular AI tools, techniques, and algorithms that power modern AI applications through these best AI courses.
By the end of this course, you’ll have an in-depth understanding of how AI systems work and the skills to build, evaluate, and deploy machine learning models.
Certification
Upon successful completion of artificial intelligence course, you’ll receive a Certificate in Data Science and Machine Learning, showcasing your expertise in applying AI and machine learning methodologies to business and technological challenges.
Requirements
- A computer with internet access.
- Basic knowledge of mathematics and programming is recommended but not required.
Curriculum
12 Lessons / / 6 Months
Understand the fundamentals of AI, data science, and their applications in various industries.
Learn Python programming for data manipulation, visualization, and analysis.
Explore data analytics and visualization techniques using libraries like Pandas, Matplotlib, and Seaborn.
Develop a strong foundation in statistics, probability, and hypothesis testing.
Get introduced to supervised and unsupervised learning techniques, covering algorithms like regression, clustering, and classification.
Dive into deep learning concepts, including neural networks, activation functions, and backpropagation.
Explore advanced deep learning architectures like CNNs and RNNs for image and sequence-based data.
Learn the basics of NLP to process and analyze textual data, including sentiment analysis and text classification.
Understand how to evaluate model accuracy, tune parameters, and optimize performance.
Discuss ethical considerations and responsible AI practices, ensuring models are fair and transparent.
Apply AI and ML concepts to real-world projects, building end-to-end models for industry scenarios.
Complete a final project that combines data analysis, machine learning, and AI to solve a real-world problem.
$39.99 / Until January 2025
This Course Include
- Language - English & Urdu
- Access on desktop, tablet and mobile
- Full lifetime access
- Certificate of Completion
