The primary objective of the AppliedAI Machine Learning Online Course is to equip participants with fundamental concepts in machine learning, data science, and artificial intelligence, enabling them to transition from real-world business problems to practical, functional AI solutions.
The course places a strong emphasis on hands-on learning and practical application over excessive theoretical rigor. While maintaining a balance between theory and practice, the course prioritizes the practical and applied aspects of AI, as its name suggests. Throughout the program, students will engage in over 15 real-world case studies and datasets, providing a comprehensive understanding of creating AI solutions. Every AI idea and algorithm will be accompanied by real-world examples to foster intuition and highlight their real-world application.
Key Course Features:
- Duration and Validity: The Applied Machine Learning course remains valid for 365 days from the date of enrollment.
- Expert Support: Participants can expect answers to their queries within 24 hours.
- Case Studies: The course encompasses 15+ real-world case studies, including 2 self-initiated case studies.
- Algorithm Coverage: The course covers 30+ machine learning and deep learning algorithms.
- No Prerequisites: The course is designed to be accessible for all, including those new to programming. It covers Python programming from the ground up.
- Live Content: To address industry demands and enhance practical skills, over 70 hours of live content will be delivered based on student feedback.
- Mentorship: Upon completing half of the course assignments, each participant will be assigned a mentor focused on building their portfolio and interview preparation.
The AppliedAI Course caters to individuals with varying levels of expertise and backgrounds, offering a flexible 365-day validity period for course completion. A commitment of 14 to 15 hours per week can lead to course completion within approximately 6 months. The following individuals stand to benefit from the course:
- Undergraduates (B.Tech/B.E/BSc statistics/BSc computer science/BCA) in engineering and science disciplines.
- Graduates (MS/MTech/ME/MCA) in engineering and science fields.
- Working Professionals: This includes software engineers, business analysts, startup teams creating ML products/services, product managers, program managers, and managers.
- Data Analysts, Data Scientists, Machine Learning Scientists, and Machine Learning Engineers.
In summary, the AppliedAI Machine Learning Online Course focuses on imparting practical skills and knowledge in AI and machine learning through case studies, real-world examples, and expert guidance. It accommodates a diverse range of learners, from students to working professionals, aiming to bridge the gap between theory and practical application in the field.
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