Techin IT Next Gen Learning offers an industry-oriented Industrial Training in Machine Learning with Artificial Intelligence (AI) designed for Polytechnic, Diploma, B.Tech, BCA, MCA, and Degree students who want to build successful careers in Artificial Intelligence, Machine Learning, and Data Science. The program combines classroom learning with practical implementation, enabling students to develop intelligent systems capable of analyzing data, making predictions, and solving real-world business problems.
The curriculum covers both fundamental and advanced concepts of Machine Learning, Artificial Intelligence, Python Programming, Data Analysis, Supervised Learning, Unsupervised Learning, Deep Learning, Neural Networks, Natural Language Processing (NLP), Computer Vision, Model Deployment, and Generative AI. Students gain hands-on experience using industry-standard tools and frameworks such as Python, NumPy, Pandas, Scikit-learn, TensorFlow, Keras, OpenCV, Matplotlib, Seaborn, and Jupyter Notebook.
Learning at Techin IT goes beyond theory. Students work on real-world AI and Machine Learning projects using live datasets from healthcare, finance, retail, manufacturing, and e-commerce domains. The training includes data preprocessing, feature engineering, model building, model evaluation, hyperparameter tuning, and AI application deployment, providing valuable practical experience aligned with industry requirements.
Our curriculum is continuously updated to match the latest trends in Artificial Intelligence and Machine Learning. In addition to technical training, students receive aptitude development, communication skills training, resume building, interview preparation, Git & GitHub usage, project presentation techniques, and one-to-one career mentoring to improve employability.
After successfully completing the Industrial Training Program, students receive an Industry-Recognized Machine Learning with AI Industrial Training Certificate from Techin IT Next Gen Learning. We also provide internship support, mock interviews, resume preparation, career counseling, and placement assistance to help students secure opportunities in Artificial Intelligence, Machine Learning, Data Science, and Software Development.
The Industrial Training in Machine Learning with Artificial Intelligence (AI) at Techin IT Next Gen Learning, Vijayawada is designed to equip Polytechnic, Diploma, B.Tech, BCA, MCA, and Degree students with the practical knowledge and industry-ready skills required to build intelligent applications. This comprehensive program combines Python programming, Machine Learning, Artificial Intelligence, Deep Learning, and Data Science with hands-on project experience to prepare students for the rapidly growing AI industry.
The curriculum follows current industry standards and focuses on solving real-world business problems using data-driven techniques. Students learn from experienced industry professionals while working on live datasets, case studies, and real-time AI applications using the latest tools and frameworks.
Upon successful completion of the Industrial Training in Machine Learning with Artificial Intelligence, students will receive an Industry-Recognized Industrial Training Certificate from Techin IT Next Gen Learning. Our training programs are designed in alignment with current industry standards and are supported through collaborations with organizations such as APSCHE, AICTE, MSME, Skill India, IAF, and NASSCOM.
The certification validates your expertise in Python Programming, Machine Learning, Artificial Intelligence, Deep Learning, Natural Language Processing (NLP), Computer Vision, Data Analysis, and Live Project Development. It also demonstrates your practical experience and industry-ready skills, making your profile more competitive for internships, campus placements, and careers in AI, Machine Learning, and Data Science.
Learn Python programming fundamentals, including functions, loops, and OOP for AI and ML workflows.
Work with libraries like NumPy, Pandas, and Matplotlib for data analysis and visualization.
Understand the basics of Artificial Intelligence, including intelligent agents, search algorithms, and logic.
Explore data preprocessing, feature engineering, and working with real-world datasets.
Master core machine learning techniques including regression, classification, clustering, and model evaluation.
Use Scikit-learn to implement algorithms like Decision Trees, SVM, K-Means, and Random Forest.
Learn to evaluate model performance using metrics such as accuracy, confusion matrix, and ROC-AUC.
Apply cross-validation and hyperparameter tuning to optimize models effectively.
Dive into AI domains like Natural Language Processing (NLP) and Computer Vision.
Explore neural networks and deep learning using TensorFlow and Keras.
Build smart applications such as chatbots, image recognition systems, or sentiment analyzers.
Complete hands-on AI projects from data processing to model deployment using real-time tools. ⸻