About the program

AI Engineer Internship Program : Building Executing Industry Oriented AI Projects 1. Description The AI Engineer Internship is an intensive, hands on training program designed to equip learners with the skills required to build, deploy, and optimize AI driven applications. Through real world AI projects, participants gain deep exposure to machine learning, deep learning, computer vision, NLP, and deployment workflows. This internship follows MetaTaaraka AI TrainX learning philosophy Learn by Doing. This is a self paced internship with complete project materials including: Overview Approach Algorithm Flow chart Linebyline code explanation Environment setup Expected outputs 10 real use cases 10 enhancement tasks 2. Purpose To prepare students and professionals for real AI engineering roles in the IT industry. To provide practical, project based experience using Python and modern AI frameworks. To bridge the gap between academic learning and industry expectations through hands on projects. 3. Values Hands on Learning: Practical work over theory Industry Relevance: Projects based on real company use cases Accessibility: Easy to understand content with step by step guidance Innovation: Encouraging learners to build and improve AI solutions Quality: Structured and well documented projects 4. Mission To empower learners with job ready AI engineering skills through real world projects, enabling them to become confident, industry ready AI professionals. 5. Vision To become Indias most practical and impactful AI internship provider, offering high quality, real world AI training accessible to students anywhere. 6. Assessments Each project includes: 10 MCQs To test understanding of algorithm, code, and output Autograded inside MetaTaaraka AI TrainX Required to unlock the next project 7.Certificate AI Engineer Internship Certificate MetaTaaraka AI Innovations Pvt. Ltd. will include: Student name Internship title Duration  Performance grade Unique verification ID 8. What Will Intern Learn During this internship, you will learn complete endtoend AI engineering skills through fully handson practice. By the end of the program, you will be able to build, train, optimize, deploy, and evaluate AI systems just like real AI engineers in the IT industry. Modules Python for AI Engineering Python essentials NumPy, Pandas, Matplotlib Data manipulation preprocessing Handling real datasets Machine Learning Fundamentals Regression models Classification models Clustering techniques Feature engineering Model evaluation metrics Deep Learning Neural Networks TensorFlow, Keras, PyTorch CNNs, RNNs, LSTMs, DNNs Computer Vision Techniques Image processing Object detection Face recognition Image classification Natural Language Processing NLP Text preprocessing Sentiment analysis Chatbots Document summarization Language models AI Model Optimization Hyperparameter tuning Model selection Improving accuracy Reducing overfitting Model Deployment RealWorld Application Deploy AI models using Flask FastAPI Use cloud services AWSGCPAzure Build endtoend AI applications Working With RealWorld Data Clean noisy data Balance datasets Handle missing values Perform exploratory data analysis EDA IndustryLevel Project Execution Domains: Healthcare, Finance, Retail, Cybersecurity, Manufacturing, HR Tech, Automotive Each project includes realistic datasets, expected outputs, and enhancement ideas Assessments Confidence Building 10 MCQs per project Concept checks Code comprehension tests Portfolio Certification 15 complete AI projects in your portfolio Verified internship certificate Jobready AI engineering skills 9. Who Should Join The AI Engineer Internship is designed for learners from all technical and nontechnical backgrounds: Engineering Technology Students B.TechB.EM.Tech in CSE, IT, ECE, EEE, Mechanical, Civil Computer IT Students BCA, MCA, B.ScM.Sc CS Science Mathematics Students B.ScM.Sc Math, Stats, Physics, Electronics Data Science aspirants AIML research students Commerce Management Students B.ComM.ComMBA Working Professionals Job Seekers IT professionals, software developers, freshers, careerswitchers Tech Enthusiasts, Innovators, Hackathon participants, Startup founders, Faculty Researchers 10. Why It Appeals to All Completely selfpaced Realworld projects for portfolio placements No prior experience required Industryready skills taught stepbystep Certificates for academic and professional value Learn by Doing fully handson 11. Requirements Instructions Basic Requirements LaptopDesktop Minimum 4 GB RAM, 8 GB recommended WindowsmacOSLinux Minimum 20 GB free storage Stable internet 2 Mbps recommended Basic computer knowledge browser, download, run software No prior programming experience needed Software Requirements Python 3.8+ Jupyter Notebook VS Code Python libraries: NumPy, Pandas, ScikitLearn, TensorFlowPyTorch Web browser ChromeFirefox Installation steps provided Learning Instructions Selfpaced, 247 access Follow project order complete one project to unlock next Every project includes: Overview, Problem statement, Algorithm, Environment setup, Code, Explanation, Expected output, Realworld applications, Enhancement tasks Assessment Instructions Each project: 10 MCQs pass 60 Unlimited attempts Must complete to unlock next module Project Submission Guidelines code, run, modify, practice You cannot copy or download the content or code Assessments autoevaluated Certificate Instructions Complete all 15 projects Pass all MCQ assessments Certificate downloadable, shareable, and verifiable Support Community Guidelines 247 support via email Use discussion forums Respect other learners No plagiarism build your own versions 4Month Internship 16 Weeks Schedule Week Project Assessment Week 1 Project 1 + Assessment 1 Week 2 Project 2 + Assessment 2 Week 3 Project 3 + Assessment 3 Week 4 Project 4 + Assessment 4 Week 5 Project 5 + Assessment 5 Week 6 Project 6 + Assessment 6 Week 7 Project 7 + Assessment 7 Week 8 Project 8 + Assessment 8 Week 9 Project 9 + Assessment 9 Week 10 Project 10 + Assessment 10 Week 11 Project 11 + Assessment 11 Week 12 Project 12 + Assessment 12 Week 13 Project 13 + Assessment 13 Week 14 Project 14 + Assessment 14 Week 15 Project 15 + Assessment 15 Week 16 Revision Portfolio Enhancement After applying here, you can directly register at our MetaTaarraka AI TrainX Platform. visit our website for more details.

Perks

It is unpaid Internship. after registering here, you can join internship directly at https://elearning.mtai.in/courses/ai-engineer-internship/

Who can apply?

Only those candidates can apply who:

1. are from B.Tech. / B.E./ Equivalent,B.Tech. / B.E./ Equivalent,M. Tech. / M.E
2. and specialisation from Computer Science and Engineering,Computer Science and Engineering,Computer Science and Engineering
3. are available for duration of 4 Months
4. have relevant skills and interests

Terms of Engagement

Number of openings

10