Switching to AIML | Top courses and criteria

Alexa wakes you in the morning with your favorite song.
You were just talking to a conversational bot to schedule that return.
Spotify and Netflix are suggesting recommendations for the evening.
Google maps showing the way to your favorite restaurant. 
Amazon and Facebook showing just what you were searching for! 
ChatGPT drafted that perfect email for your meeting.

Innovation or disruption? 
We have plenty of daily interaction with AI whether we acknowledge it or not. Imagine working in this dynamic field of Artificial Intelligence. Being at the heart of innovation, orchestrating the neural network architecture and being at the helm of breakthrough technology in your organization. You can now pursue your  Master’s degree with Co-op from a Top 100 school in the US. You can avail CPT for 6 months during the degree and can graduate within 15 months.

To know more, register for the webinar!

Talking Points of the Webinar:

• How to avail a CPT during your Masters & its Benefits
• Engineering vs. Applied Science Programs in AIML
• Top Reasons to Choose an MS with a Co-Op
• Switching from DevOps to ML Ops
• How to secure a CAEM license

 Summary:

This text provides an overview of a webinar introduction for a Machine Learning Engineering program at Drexel University in Philadelphia, focusing on co-op opportunities and its benefits for students in India.

Facts:

- 🚀 Drexel University offers a Machine Learning Engineering program with co-op opportunities.

- 🤝 Co-op programs help students start their job search early and build a professional network.

- 📚 The curriculum is designed to prepare students with both foundational knowledge and practical skills.

- 🌆 Drexel University is located in Philadelphia, known for its urban campus and cost-effective living.

- 🏢 Drexel is an R1 research-intensive university, offering top-notch facilities and research opportunities.

- 🎓 A Machine Learning Engineering program differs from a traditional MS in AI, offering practical, applied learning.

- 📈 Machine Learning Engineering students may focus on real-world applications and hardware optimization.

- 🚀 Graduates can pursue diverse career paths, adapting to technology changes and emerging industries.

The Machine Learning Engineering program at Drexel University aims to provide students with practical skills and co-op opportunities, setting them apart from traditional MS in AI programs and preparing them for dynamic career prospects:

.- 💼 Curricular Difference: Machine learning engineering and Engineering Management program have transfer credits based on Pathways, reducing time and cost.

- 🧮 Prerequisites: Prerequisites for the program include Applied Math, Statistics, Data Analysis, Introductory Probability, and Computer Programming Skills, especially in Python.

- 💡 Why Consider Machine Learning Engineering: Machine learning is widely used in various industries, including Healthcare, Network Security, Media, Aerospace, and Power Grids. Machine learning Engineers work on developing, optimizing, and implementing machine learning algorithms.

- 📈 Career Opportunities: Graduates can find jobs in companies like Facebook, Google, Comcast, power companies, Microsoft, SAP, and more. Machine learning engineers can work on multimedia forensics, robotics, bioinformatics, and hardware for machine learning.

- 🤖 Automation and Robotics: Automation and Applied Robotics are covered in the program, providing knowledge and skills for deploying machine learning in automation and robotics applications.

- 🤖 Control Theory Aspect: Control theory is a fundamental aspect of robotics.

- 🚶 The Locomotion: Locomotion in robotics involves movement and navigation.

- 🧠 Cognition and Machine Learning: Machine learning is applied to help robots understand their environment and plan paths.

- 📡 Object Detection: Part of cognition involves detecting objects in the environment.

- 🤖 Applied Robotics: The focus is on building cognition systems on top of robots.

- 📚 Educational Class: It's a 10-week project-based class on robotics.

- 💰 Earning Potential: The AI and machine learning industry has significant earning potential.

- 🤖 AI vs. Machine Learning vs. Deep Learning: AI encompasses machine learning, and deep learning is a subset of machine learning.

- 🧠 Deep Learning: Deep learning involves complex neural network architectures.

- 💡 Mimicking Human Brain: Some AI architectures aim to mimic how the human brain processes information.

- 🎓 Educational Opportunities: Details about a program that combines machine learning and engineering.

- 📝 Application Process: Information about applying to the program.

- 📊 Admission Criteria: Requirements for admission, including GPA and standardized tests.

- 📩 Ushi has sent a message about browsing available courses.

- 🎓 Drexel now offers courses on machine learning engineering (MSN Ms Engineering Management).

- 🌐 Applications are now open, starting online and leading to dual certification.

- 📚 Successful students receive advanced academic readiness and 9 credits waived.

- 👨‍🎓 Students' success rates are significantly higher compared to regular students.

- 🙏 An honor to host the session, open to questions.

- 📹 The session is being recorded and will be distributed.

- 📧 Contact info provided for program-related inquiries.

- 🌟 Excitement about potential applicants joining the university.

- 💼 Graduate Co-op programs are often paid experiences.

- 🏢 Students can use these resources for both Co-op and full-time job searches.

- 📈 High employment rates for Drexel graduates.

- 📚 Drexel is known for its excellent co-op programs in engineering.

- 🇺🇸 Drexel is the second-best university in the US for co-op programs.

- 🧐 Encourages research on Drexel and its engineering programs.