top of page

AI & ML Training and Internship Program (Remote)

AI & ML Training and Internship Program (Remote)

Kickstart your career in Artificial Intelligence and Machine Learning with the AI & ML Training and Internship Program with Python, a comprehensive 1-month program designed to provide both theoretical knowledge and practical experience

Through real-life projects, you will master essential AI and ML concepts, using powerful Python libraries and frameworks. You'll embark on hands-on projects such as developing predictive models and building neural networks to solve real-world problems.

By the end of the program, you’ll have the skills to conceptualize, implement, and optimize AI and ML solutions, paving the way for a successful career in data science and AI development.

3 LD

Credit Hours*


Start Date

1 Month


Training + Internship


1-on-1 Live


Office Scene

About the Internship

​Selected intern's day-to-day responsibilities include: 

1. Data Collection and Preprocessing: Gather, clean, and preprocess data for analysis, ensuring datasets are ready for machine learning models.
2. Model Development: Develop and train machine learning models using Python libraries such as TensorFlow, Keras, and scikit-learn.
3. Project Implementation: Work on projects like developing predictive models and creating neural networks for various applications.
4. Code Review and Optimization: Participate in code reviews to learn best practices and optimize models for accuracy and efficiency.
5. Collaborative Learning: Collaborate with fellow interns and mentors to solve machine learning challenges and enhance your understanding of AI technologies.
6. Research and Adaptation: Stay updated with the latest trends in AI and ML, applying innovative techniques to improve model performance.
7. Feedback Implementation: Actively incorporate feedback from supervisors and peers to refine and improve your machine learning models.

Exciting Industry Trends

90% Increase in AI Adoption

Organizations worldwide are rapidly adopting AI technologies, with a projected 90% increase by 2025, driven by the need for automation and data-driven decision-making.

$120,000 Average Salary

The average salary for AI and ML specialists in top tech companies is now $120,000 annually, reflecting the high demand for these skills.

75% Growth in Funding

AI research funding has grown by 50% annually, indicating strong support and investment in developing new AI technologies and solutions.

Check what our participants have to say


Mark Johnson
Senior AI Developer, Innovative Tech Solutions

Transformative Learning Experience

"This program was a game-changer for me. The structured approach and expert guidance helped me understand complex AI and ML applications, making my learning curve enjoyable and productive."

Our Corporate Partners

Successful UET Alumni Employer
Successful UET Alumni Employer

Fable Stable

Successful UET Alumni Employer
Successful UET Alumni Employer
Successful UET Alumni Employer

Capstone Projects

AI-Powered Predictive Analytics for Real-World Applications

The capstone project involves developing an AI-powered predictive analytics solution for a real-world business problem. You'll work with a real dataset, applying techniques like data preprocessing, model training, and optimization. By building a comprehensive predictive model, you will address a specific business challenge, such as customer churn prediction, sales forecasting, or risk assessment, demonstrating your ability to apply AI and ML skills in practical, impactful ways.

List of skills that participants will acquire

1. Python Proficiency: Master core Python programming, including data types, control structures, functions, and libraries.
2. Data Manipulation: Gain expertise in data manipulation using Pandas and NumPy.
3. Data Visualization: Learn to create visualizations and understand data trends using Matplotlib and Seaborn.
4. Machine Learning Models: Develop and train machine learning models using scikit-learn, TensorFlow, and Keras.
5. Supervised Learning: Implement and understand supervised learning techniques such as regression, decision trees, and support vector machines.
6. Unsupervised Learning: Explore unsupervised learning techniques including k-means clustering and principal component analysis.
7. Neural Networks: Build and optimize neural networks, including convolutional and recurrent neural networks.
8. Project Management: Enhance project management skills, from conception through to delivery, including planning, timeline management, and feedback implementation.
9. Collaborative Skills: Improve teamwork and collaboration abilities by working with peers and mentors on coding projects.
10. Problem-Solving: Strengthen problem-solving skills by tackling real-world AI and ML challenges.
11. Research and Adaptation: Stay updated with the latest trends in AI and ML, applying innovative techniques to improve model performance.
12. Ethical AI: Understand ethical considerations in AI/ML, including bias, fairness, and transparency.

Internship Porgram by UET

From Training to Career: We've Got Your Back!

Included with Every Internship Program

Career Counselling

Navigate your career path with personalized counseling from our experts who align your goals with market demands

Key Benefits:

✔️ Personalized assessments to discover your unique strengths.
✔️ Custom goal setting to map out your successful career path.

Resume & Interview Prep

Enhance your marketability with expertly tailored resume feedback and focused interview training.

Services Include:

✔️ 1:1 resume evaluations from an employer’s perspective.
✔️ Actionable tips tailored to the specifics of your job market.

Manage Projects with JIRA

Gain practical skills in project management using JIRA, enhancing your efficiency and employability.

JIRA Essentials:
✔️ Core JIRA functionalities tutorial.
✔️ Real-world project applications.

Who Can Apply

  1. Available for a part-time, remote internship.

  2. Able to start within the next two weeks.

  3. Committed for the full duration of the internship.

  4. Keen to learn and grow in the field.


Application Process

Step 1: Screening

During this initial phase, you will be asked to upload your resume. Our screening process focuses on assessing your potential to excel in your chosen career pathway, rather than just your past educational and professional experiences. You will be informed within 1 working day whether you have progressed to the next stage of the interview process.

Step 2: Interview and Selection

The interview allows you to learn more about our organization and enables us to determine if you are a good fit for the internship. No prior experience is necessary; we are primarily interested in your willingness to learn. If we find that you are a good match, you will be invited to join an upcoming cohort.

Step 3: Skill Development

Under the mentorship of our expert instructors and in collaboration with fellow interns, you will develop both technical and interpersonal skills. Success in this phase qualifies you to advance to the skill deployment phase. Here, you can apply your skills in practical settings such as a capstone project, or with one of our corporate partners, preparing you for real-world applications and enhancing your career prospects.

Step 4: Skill Deployment

During deployment, you will apply the skills you have learned and acquire new ones to fulfill project needs effectively. This comprehensive internship experience equips you with the necessary skills and experience to progress in your chosen career.

Apply Now

Excited to start the process?
Just one thing left to do.

Frequently Asked Questions

❓ What are the prerequisites to enroll in this AI & ML internship? 📜 There are no specific prerequisites; however, a basic understanding of programming concepts can be helpful. ❓ What projects will I work on during this internship? 🛠️ Projects include developing predictive models and building neural networks to solve real-world problems. ❓ How is this internship delivered? 🌐 The internship is completely remote, offering flexibility to learn from anywhere. ❓ Who will guide the internship? 👨‍🏫 Experienced AI and ML developers and industry professionals will mentor you throughout the program. ❓ What is the duration of the internship? ⏳ The program lasts one month, packed with intensive learning and development. ❓ Will I receive a certificate at the end of the internship? 📜 Yes, successful completion will earn you a certification, recognizing your skills and effort. ❓ Can this internship lead to employment opportunities? 🚀 While employment isn't guaranteed, the skills and experience gained will significantly boost your employability. ❓ What is the learning pace like during the internship? ⏰ The pace is designed to be intensive but manageable, focusing on deep learning and application of AI and ML techniques.


*Please note: The credits earned in this program are recommended for transfer by the American Council on Education (ACE). While universities may choose to accept or decline these credits, both UET and ACE are fully committed to assisting students with the transfer process. Although we refer to this offering as an internship, it is structured as training enriched with real-life projects, which qualify it as an internship experience. We are dedicated to providing the highest quality education, which means the specifics of our program content—including included projects and the capstone project—may vary as we continually update and improve our courses. However, the core learning objectives and the quality of the educational experience will always remain top-notch and comprehensive

Learner Support at University of Emerging Technologies

 UET Support

*Please note that for the purpose of training and maintaining high-quality service, all phone and WhatsApp conversations may be recorded. We appreciate your understanding.

*If we are not immediately available to answer your call or respond to your message, it is deemed that we have your consent to contact you later in response. We appreciate your patience and look forward to assisting you.

bottom of page