About the Course
Commences October 2024,Join our waiting list to be the first to know -Click to Enroll
Overview: The AI/ML Engineer program at ZICT is a comprehensive training course designed to equip participants with the knowledge and practical skills needed to excel in artificial intelligence (AI) and machine learning (ML) engineering roles. The program covers foundational concepts, advanced techniques, practical applications, and career development aspects to prepare participants for success in the rapidly evolving field of AI and ML.
Target Audience: This program is ideal for:
IT professionals looking to transition into AI and ML engineering roles
Recent graduates or students interested in pursuing a career in AI and ML
Data analysts or data scientists seeking to enhance their skills in machine learning and AI technologies
Software developers interested in AI and ML application development
Anyone passionate about AI and ML who wants to enter the industry or advance their career in this field
Salary Expectation: The salary expectation for AI/ML engineers can vary based on factors such as experience, location, industry, and specific skills. Generally, AI/ML engineers can expect competitive salaries, with entry-level positions starting around $70,000 to $100,000 annually, and experienced professionals earning well over $150,000 per year, particularly in high-demand regions or industries.
Demand: The demand for AI/ML engineers is consistently high across various industries, including technology, healthcare, finance, e-commerce, and more. As organizations increasingly adopt AI and ML technologies to drive innovation, improve decision-making, and enhance customer experiences, the need for skilled AI/ML engineers continues to grow. This demand is expected to remain strong in the coming years, offering abundant opportunities for qualified professionals.
Curriculum Outline (20 Weeks):
Introduction to AI and ML Engineering (2 weeks):
Foundations of Machine Learning (4 weeks):
Deep Learning and Neural Networks (4 weeks):
Natural Language Processing (NLP) (3 weeks):
Advanced Topics in AI/ML Engineering (3 weeks):
Capstone Project and Practical Applications (2 weeks):
Career Development and Soft Skills (2 week):