AI Development

Individual & Group

Other

Danilka Akarawita

Colombo

Aluthkade (Colombo 12), Angoda, Athurugiriya, Avissawella, Bambalapitiya (Colombo 4), Battaramulla, Boralesgamuwa, Borella (Colombo 8), Cinnamon Gardens (Colombo 7), Dehiwala, Dematagoda (Colombo 9), Fort (Colombo 1), Grandpass (Colombo 14), Hanwella, Havelock Town (Colombo 5), Hokandara, Homagama, Kaduwela, Kahanthota, Kalubowila, Kesbewa, Kirulapona (Colombo 5), Kochchikade (Colombo 13), Kohuwala, Kolonnawa, Kolpity (Colombo 3), Kotahena (Colombo 13), Kottawa, Kotte, Madampitiya (Colombo 15), Maharagama, Malabe, Maradana (Colombo 10), Mattakkuliya (Colombo 15), Modara (Colombo 15), Moratuwa, Mount Lavinia, Narahenpita (Colombo 5), Nawala, Nugegoda, Padukka, Pamankada (Colombo 6), Panchikawatte (Colombo 10), Pannipitiya, Pelawatte, Pettah (Colombo 11), Piliyandala, Rajagiriya, Ratmalana, Slave Island (Colombo 2), Talawatugoda, Ward Place (Colombo 7), Wellampitiya, Wellawatte (Colombo 6)

5000

0750524198

94750524198

AI Development Course

Course Description:
The AI Development Course is a comprehensive, hands-on program designed to help learners master the core concepts and practical skills needed to build intelligent systems and real-world AI applications. This course covers everything from the fundamentals of machine learning, deep learning, and neural networks to the development and deployment of AI-powered applications using modern tools and frameworks

Students will gain experience in data preprocessing, model training, evaluation, and optimization, while also exploring cutting-edge fields like Natural Language Processing (NLP), and Generative AI. By the end of the course, participants will have the confidence to design, train, and deploy custom AI solutions for diverse industries.

Course Duration:
The course includes weekly sessions and assessments totaling 2 hours and 30 minutes per week, ensuring consistent progress through guided learning, practical exercises, and project-based evaluations.
What You’ll Learn:
• Foundations of Artificial Intelligence and Machine Learning
• Deep Learning with Neural Networks
• Data collection, cleaning, and feature engineering
• Model building, training, and performance evaluation
• Introduction to NLP, Computer Vision, and Generative AI
• Using frameworks like TensorFlow, PyTorch, and scikit-learn
• Building and deploying AI applications and APIs
• Ethics, bias, and responsible AI development

Who Should Enroll:
• Beginners interested in AI and data science
• Software developers wanting to integrate AI into applications
• Students aiming for careers in AI engineering or research
• Professionals looking to upskill in modern AI technologies

Instructor Information:
This course is conducted by a qualified AI Engineer with over 2 years of industry experience.
The instructor holds:
• BSc (Hons) in Computer Science from the University of Westminster
• BSc in Physical Science from the University of Sri Jayewardenepura

2025-10-19 11:07AM