Data Science AI/ML Course
Data Science AI/ML Course Overview
The Data Science and AI/ML Course at Dlytica Academy prepares you to turn complex data into smart decisions. You’ll gain hands-on experience with Python, TensorFlow, Scikit-learn, Power BI, and SQL, and work on projects simulating real-world industry challenges.
What You’ll Learn
- Data preprocessing, visualization, and analytics
- Machine Learning algorithms and model deployment
- Deep Learning and AI applications
- Predictive analytics and natural language processing
- Capstone projects using real datasets
Our expert trainers ensure you not only learn theory but also develop practical problem-solving skills. This course is ideal for aspiring Data Scientists, Machine Learning Engineers, and AI Analysts.
Why Choose Dlytica Academy?
- Hands-on Projects: Real-world AI & ML use cases
- Certified Mentors: Industry professionals with global experience
- Career Growth: Resume support and placement assistance
- Flexible Learning: Live, hybrid, and corporate training options
Discover more programs at Dlytica Academy.
Learn about our AI360 Studio for real-time AI project applications.
Ready to launch your career as a Data Scientist? Enroll Now
The Applied Data Science & Big Data Diploma Program, also known as the Data Science Bootcamp, is a flexible and part-time educational initiative aimed at assisting recent graduates and those looking to switch careers in entering the field of data science. This comprehensive program encompasses 26 weeks of part-time learning, followed by six months dedicated to creating a portfolio of projects. Additionally, there is a further six-month period of personalized one-on-one mentorship and job assistance post-graduation. DLytica Inc is dedicated to providing extensive support to empower learners in achieving their aspirations of a career change or kickstarting a new profession. For individuals seeking a seamless transition into the role of a data scientist, this program offers a well-structured curriculum that can be pursued alongside existing daytime commitments, making it a valuable investment in one’s professional journey.
