Official Commencement
Receive an appointment letter on the first day and become an integral part of our team as an intern.
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Receive an appointment letter on the first day and become an integral part of our team as an intern.
Earn an experience letter and a certificate of completion at the end of your tenure.
Access our proprietary AI technology capable of generating 1 lakh mobile apps in one minute.
Engage with real-world projects under the guidance of industry experts.
Outstanding interns have the chance to receive full-time employment offers.
Benefit from a corporate training setting, fostering professional growth and networking.
Earn through our referral program by bringing peers into our dynamic team.
Overview of AI and ML, Types of Machine Learning: Supervised, Unsupervised, and Reinforcement Learning, Setting up the environment: Python, Jupyter Notebook, Anaconda, Introduction to Python for AI/ML, Basic libraries: NumPy, Pandas, Matplotlib
Read MoreData collection and understanding data sources, Data cleaning: Handling missing values, outliers, Exploratory Data Analysis (EDA), Data visualization techniques using Matplotlib and Seaborn, Feature engineering and selection
Read MoreIntroduction to regression models, Linear Regression: Theory and implementation, Polynomial Regression, Evaluation metrics: MSE, RMSE, MAE, R², Hands-on project: Predicting house prices
Introduction to classification models, Logistic Regression, K-Nearest Neighbors (KNN), Support Vector Machine (SVM), Decision Trees and Random Forests, Evaluation metrics: Accuracy, Precision, Recall, F1-Score, Hands-on project: Spam email classification
Clustering algorithms: K-Means, Hierarchical Clustering, Dimensionality reduction techniques: PCA, t-SNE, Anomaly detection, Hands-on project: Customer segmentation
Introduction to Neural Networks, Activation functions, loss functions, and backpropagation, Building a simple neural network using TensorFlow/Keras, Hands-on project: Digit classification using MNIST dataset
Introduction to CNNs, Convolutional layers, pooling layers, and fully connected layers, Building CNNs with TensorFlow/Keras, Hands-on project: Image classification using CIFAR-10 dataset
Introduction to NLP and text processing, Tokenization, stemming, and lemmatization, Text classification using Bag of Words and TF-IDF, Introduction to Recurrent Neural Networks (RNNs) and LSTMs, Hands-on project: Sentiment analysis using movie reviews
Introduction to Reinforcement Learning, Key concepts: Agents, states, actions, rewards, Q-Learning and Deep Q-Networks (DQNs), Hands-on project: Creating a simple game-playing AI
Transfer Learning, Generative Adversarial Networks (GANs), Introduction to AutoML and hyperparameter tuning, Hands-on project: Image generation using GANs
Introduction to model deployment, Creating REST APIs with Flask/Django, Deploying models on cloud platforms: AWS, Google Cloud, Azure, Hands-on project: Deploying a model as a web service
Working on a capstone project integrating various AI/ML techniques learned, Project presentations and peer review, Feedback sessions and next steps in AI/ML career development
NextGen AI Frameworks Private Limited,
B-17, Wing 2, Second Floor,
Jhilmil Industrial Area, Shahdara,
Delhi – 110095, India
NextGen AI Frameworks Private Limited,
B-17, Wing 2, Second Floor,
Jhilmil Industrial Area, Shahdara,
Delhi – 110095, India
CIN: U62099DL2023PTC419965
GSTIN: 07AAJCN1261A1ZX
MSME: UDYAM-DL-02-0072416
Phone:+911145629656,+919625444816
Timings: Monday to Friday, 11 AM to 6 PM
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