AI / ML Engineer Guided Internship (Remote)
AI / ML Engineer Guided Internship (Remote)
Kickstart your career in Artificial Intelligence and Machine Learning with the AI & ML Training and Internship Program with Python, a comprehensive 2-months 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*
Immediately
Start Date
2 Months
Duration
Training + Internship
Type
1-on-1 Live
Support
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
400% Increase in AI Adoption
Organizations worldwide are rapidly adopting AI technologies, with a projected 400% increase by 2026, 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
Capstone Project
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.
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
Get job-ready with JIRA, the go-to project management tool for tech teams. Learn to manage tasks, track progress, and streamline workflows like a pro.
JIRA Essentials:
✔️ Master JIRA workflows to excel in real-world projects.
✔️ Boost team productivity from day one.
Version Control with Git & GitHub
Stand out with Git & GitHub expertise, the backbone of modern development. Manage code, collaborate seamlessly, and impress employers with your skills.
Key Benefits:
✔️ Ace version control for smooth team collaboration.
✔️ Build a standout portfolio with real-world projects.
Who Can Apply
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Available for a part-time, remote internship.
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Able to start within the next two weeks.
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Committed for the full duration of the internship.
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Keen to learn and grow in the field.
Skill(s) required / Prerequisite
▪️ Basic programming knowledge (preferred)
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 or Selection
Depending on your application, we may invite you for a short interview to learn more about your goals and assess your fit for the program. Alternatively, you may receive an email confirming your selection. No prior experience is required—what matters most is your enthusiasm and willingness to learn. If selected, you'll be invited to join an upcoming cohort.
Step 3: Skill Development
With guidance from our expert mentors and collaboration with fellow interns, you’ll build both technical and interpersonal skills. Completing this phase prepares you for the next step: skill deployment, where you’ll apply your knowledge in practical settings like capstone projects sourced through our corporate partners. This phase sets the foundation for real-world success.
Step 4: Skill Deployment
During deployment, you will apply the skills you have learned and acquire new ones to fulfill capstone project needs effectively while mastering tools like JIRA for project management and Git/GitHub for version control. This hands-on experience allows you to apply your skills effectively, preparing you for industry challenges and enhancing your career readiness.
Frequently Asked Questions
❓ What is a Guided Internship, and How is it Different from a Regular Internship?
✔️ A guided internship is a structured, hands-on training program designed to prepare participants for real-world industry roles. It combines:
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Training: Learn essential skills and tools.
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Projects: Work on real-world tasks to apply your knowledge.
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Capstone Project: Showcase your expertise in a final project.
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Skill-Building: Gain hands-on training in project management (JIRA) and version control (Git & GitHub).
Upon successfully completing the program:
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Certification: Earn a Guided Internship Certificate endorsed by our corporate partners by achieving 70% or higher marks.
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Letter of Recommendation (LoR): Issued to learners who excel in their performance and receive positive evaluations from their mentors, highlighting their achievements and potential.
Now, how is it different from a regular internship?
In a regular internship, you're expected to work independently, applying knowledge you already possess. A guided internship, however, provides:
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Structured Training: Gain the skills you need before starting your projects.
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Mentorship: Receive guidance throughout your learning journey.
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Comprehensive Development: Beyond projects, gain expertise in tools and workflows essential for the workplace.
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Enhanced Opportunities: With certifications and LoRs, you'll stand out in the job market, ready for roles with competitive salaries.
Guided internships are ideal for beginners and those looking to upskill, focusing on learning, doing, and excelling with industry-ready skills and credentials.
UET Learner Support
*All telephone calls will be recorded for training and quality purposes.
*If we are unavailable to attend to your call, it is deemed that we have your consent to contact you in response.
DISCLAIMER
University of Emerging Technologies (UET) provides credit-recommended courses as recognized by the American Council on Education (ACE). Transferability of credits is subject to acceptance by the receiving institution. UET and ACE are committed to assisting students in the transfer process.
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