Brief Summary
This content outlines a Post Graduate Program (PGP) in Generative AI and Agentic AI offered by Edureka in collaboration with the Illinois Institute of Technology. It emphasises skills in machine learning, neural networks, and developing generative AI solutions, preparing professionals for high-demand roles. The program includes live online classes, hands-on projects, and culminates in a capstone project, leading to an accredited certification.
- PGP focuses on Generative AI and Agentic AI with industry-relevant skills.
- The program offers practical experience through projects and culminates in an accredited certificate.
Overview of the Program
This section introduces the PGP in Generative AI and Agentic AI, highlighting its collaboration with the Illinois Institute of Technology. The course aims to equip professionals with critical skills in key areas of AI, including machine learning and deep learning. There is a significant emphasis on building a portfolio through real projects and practical exercises to ensure readiness for emerging roles in the AI job market.
Market Opportunities
The program outlines the projected growth in the generative AI sector, forecasting a market size of $1.3 trillion over the next decade. With 170 million new AI job opportunities anticipated by 2030, the program prepares students for high-demand roles with an attractive average salary of $193,000 for agentic AI engineers, signifying a strong market need for such expertise.
Course Structure and Curriculum
This chapter details the comprehensive curriculum, which consists of various modules across key areas. Students will learn Python fundamentals, data structures, and advanced AI concepts, with an in-depth focus on Generative AI applications, autonomous agents, and deploying production-grade AI systems. The curriculum also includes elective courses and hands-on projects that reinforce learning and application.
Admission Process
The admission process for the program is explained, outlining the initial application steps, interviews with subject-matter experts, and fee determination based on performance. Key details regarding the program fee of $2500, available scholarships, and EMI options for learners are also highlighted to facilitate ease of access for prospective students.
FAQs
This section addresses common queries potential applicants may have, such as the nature of the program being online, the estimated time commitment of 8–10 hours per week, and the level of prior programming knowledge required. It explains the certification received upon completion and reiterates the demand for skills in generative and agentic AI, reflecting the program's potential to enhance career opportunities in the tech industry.
Alumni Experiences
Alumni testimonials provide insight into the programme's effectiveness, with students praising the structured approach, supportive instructors, and practical learning experiences that help solidify their understanding of AI principles. Feedback highlights the confidence gained in applying knowledge through hands-on projects and exercises.
Capstone Project
The capstone project serves as a vital component, allowing students to design, build, and deploy comprehensive agentic AI systems. This hands-on experience is critical for consolidating the knowledge gained and validating the skills required for prospective AI engineering roles.
Contact and Support
The program ends by offering contact details for prospective students to seek further assistance or clarity regarding the courses, emphasizing Edureka's commitment to supporting learners throughout their journey in generative and agentic AI education.
