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Artificial Intelligence Course For Computer Science
Unlock the potential of artificial intelligence within the field of computer science with our comprehensive course tailored for technology professionals. Delve into the intricacies of machine learning, from understanding regression models to practical AI implementation using Python. Master data collection, cleansing, and normalisation techniques, and gain insights into housing market dynamics. Enhance your skills in technical reporting and effectively communicate your findings. Join us to elevate your expertise and stay ahead in the fast-evolving tech landscape.
- Master data cleansing: Refine datasets for accurate AI model training.
- Analyse market trends: Evaluate housing dynamics with AI insights.
- Build AI models: Develop and test models using Python libraries.
- Document projects: Create clear, concise technical reports.
- Evaluate models: Use metrics to assess regression model performance.

4 to 360 hours flexible workload
certificate recognised by MEC
What will I learn?
Unlock the potential of artificial intelligence within the field of computer science with our comprehensive course tailored for technology professionals. Delve into the intricacies of machine learning, from understanding regression models to practical AI implementation using Python. Master data collection, cleansing, and normalisation techniques, and gain insights into housing market dynamics. Enhance your skills in technical reporting and effectively communicate your findings. Join us to elevate your expertise and stay ahead in the fast-evolving tech landscape.
Elevify advantages
Develop skills
- Master data cleansing: Refine datasets for accurate AI model training.
- Analyse market trends: Evaluate housing dynamics with AI insights.
- Build AI models: Develop and test models using Python libraries.
- Document projects: Create clear, concise technical reports.
- Evaluate models: Use metrics to assess regression model performance.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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