This comprehensive certification program is designed to equip learners with advanced knowledge and practical skills in Artificial Intelligence (AI), Machine Learning (ML), Deep Learning, Natural Language Processing (NLP), and Predictive Analytics. Participants will gain hands-on experience through real-world projects, case studies, and AI model development, preparing them for careers in the rapidly evolving AI industry.
Taught by Dr. Pallavi Bangare
Outcomes
Curriculum
11 modules, 19 lessons, 150 hours
• Fundamentals of AI and ML • Types of Artificial Intelligence • AI Applications Across Industries • Machine Learning Workflow • Data Science Lifecycle • AI Ethics and Responsible AI Practical • Setting up Python Environment • AI & ML Project Workflow
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MindLyft AI
Faculty with hands-on industry experience. Instructors bring practical experience into the classroom, so what you learn reflects how these systems are actually built.
A curriculum that tracks the industry. The syllabus covers tools in current production use, rather than material that stopped being current two years ago.
Real data, real projects. Every module builds toward applied work, ending in capstone projects rather than closed-book assessments.
Classroom teaching, not recorded video. All 150 hours are taught in person, so you can ask a question the moment you are stuck.
Guest lectures from working professionals. Regular sessions on what is changing in the field right now.
Talk to a counsellor about dates, fees and whether this programme fits where you are now.
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8 lessons
4 lessons
• AI Engineer • Machine Learning Engineer • Data Scientist • NLP Engineer • AI Research Associate • Business Intelligence Analyst • Predictive Analytics Specialist • Generative AI Developer • AI Consultant
