Certification Program in Artificial Intelligence and Machine Learning!
Step Into Success with a Career in AI & ML!
The rapid advancements in teraflop computing, scalable infrastructure, and gigabit internet have unlocked numerous AI and Machine Learning applications for businesses and consumers alike. With AI-driven innovation transforming industries, the demand for AI professionals is skyrocketing. According to NASSCOM and BCG, the AI market is projected to grow exponentially
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AI & ML job opportunities are expected to grow 10 times by 2028
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Professionals with AI & ML skills earn 4 times higher salaries (Source: Glassdoor)
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There is a 51% demand-supply gap in the AI talent pool in India (Source: NASSCOM)
Course Overview
Our AI Certification Course covers all essential topics with a focus on practical learning & real-world applications.
Month 1
| 1. Introduction to AI | - Definition & History of AI - Types of AI: Narrow AI, General AI, Super AI - AI Applications in Healthcare, Finance, E-commerce, etc. - Ethics & Challenges in AI |
| 2. Mathematics for AI | - Linear Algebra: Vectors, Matrices, Eigenvalues - Probability & Statistics: Bayes’ Theorem, Gaussian Distribution - Calculus: Derivatives, Partial Derivatives, Chain Rule |
| 3. Python for AI | - Basics: Variables, Loops, Functions, OOP - Libraries: NumPy (Arrays, Broadcasting), Pandas (DataFrames), Matplotlib (Data Visualization) - Data Preprocessing: Handling Missing Values, Encoding Categorical Data |
| 4. Basic AI & Search Algorithms | - Search Strategies: BFS, DFS, A* Algorithm - Optimization: Genetic Algorithm, Gradient Descent |
| 5. Hands-on Project: | - Build a Simple Chatbot - Data Visualization with Pandas & Matplotlib |
Month 2
| 1. Introduction to ML | - ML vs AI vs Deep Learning - Types of ML: Supervised, Unsupervised, Reinforcement Learning |
| 2. Supervised Learning | - Regression: Linear Regression, Polynomial Regression - Classification: Logistic Regression, Decision Trees, k-NN |
| 3. Unsupervised Learning | - Clustering: K-Means, DBSCAN, Hierarchical Clustering - Dimensionality Reduction: PCA, LDA |
| 4. Model Evaluation & Performance Metrics | - Confusion Matrix, Accuracy, Precision, Recall, F1-score - Overfitting vs Underfitting, Bias-Variance Tradeoff |
| 5. Hands-on Project | - Predict House Prices using Regression - Customer Segmentation using Clustering |
Month 3
| 1. Ensemble Learning | - Bagging (Random Forest) - Boosting (Gradient Boosting, XGBoost, AdaBoost) |
| 2. Feature Engineering & Selection | - Handling Missing Data (Mean, Median Imputation) - Feature Scaling (Normalization, Standardization) - Feature Selection Methods (Recursive Feature Elimination, Mutual Information) |
| 3. Hyperparameter Tuning | - Grid Search, Random Search, Bayesian Optimization |
| 4. Hands-on Project | - Spam Email Classifier using Naïve Bayes - Predict Loan Approval using Decision Trees & Feature Engineering |
Month 4
| 1. Basics of Neural Networks | - Perceptron, Activation Functions (Sigmoid, ReLU, Softmax) - Backpropagation, Loss Functions (MSE, Cross-Entropy) - Optimization Techniques (SGD, Adam, RMSProp) |
| 2. Deep Learning Frameworks | - Introduction to TensorFlow & PyTorch - Building Neural Networks with Keras |
| 3. Hands-on Project: | - Handwritten Digit Recognition using ANN (MNIST Dataset) |
Month 5
| 1. Convolutional Neural Networks (CNN) | - Convolution & Pooling Layers - Transfer Learning with Pre-trained Models (VGG16, ResNet) - Object Detection (YOLO, Faster R-CNN) |
| 2. Natural Language Processing (NLP) | - Text Preprocessing: Tokenization, Stopword Removal, Lemmatization - Word Embeddings: Word2Vec, GloVe, BERT - Sentiment Analysis & Text Classification |
| 3. Recurrent Neural Networks (RNN, LSTM, GRU) | - Sequence Modeling for Text & Time Series Data - Transformer Networks & Attention Mechanisms |
| 4. Hands-on Project | - Image Classification using CNN - Sentiment Analysis using LSTMs |
Month 6
| 1. Reinforcement Learning Basics | - Markov Decision Process (MDP) - Q-Learning & Deep Q Networks (DQN) |
| 2. AI in Real-world Applications | - AI in Healthcare (Disease Prediction) - AI in Finance (Stock Price Prediction) - AI in Automation (Self-driving Cars) |
| 3. Model Deployment & Cloud Integration | - Saving & Loading Models (Pickle, Joblib) - Deploying Models with Flask, FastAPI - Deploying AI Models on Cloud (AWS, Google Cloud, Azure) |
| 4. Capstone Project | - End-to-end AI Application (e.g., Chatbot, Fraud Detection, Image Recognition) |
Program Highlights
Our Artificial Intelligence Certification Course at INSD Designing Institute is designed to provide comprehensive training in AI and Machine Learning, ensuring students gain industry-relevant skills through practical learning. Below are the key highlights of the program:
Why Choose INSD for AI Certification?
- Industry-Oriented Curriculum– Learn the latest AI techniques with real-world applications.
- Hands-on Projects & Case Studies– Work on real-life AI projects to enhance your skills.
- Expert Faculty– Get trained by AI professionals & industry leaders.
- Placement Assistance– Career support to land your dream AI job.
- State-of-the-Art Infrastructure– Experience advanced AI labs and learning facilities.
Our Recruiters
This course is designed to provide foundational and advanced knowledge in Artificial Intelligence (AI) and Machine Learning (ML) specifically for the design field, helping students apply AI-driven solutions in various creative domains.
This course is ideal for design students, working professionals, and anyone interested in integrating AI & ML into fashion, interior, animation, graphic design, and product design.
The course duration is 6 months.
No, prior coding knowledge is not required. The course starts with basic concepts and gradually moves to advanced applications. Curriculum & Learning
- Fundamentals of AI & ML
- Deep Learning & Neural Networks
- AI in Fashion & Interior Design
- AI-powered Design Automation
- Data Visualization & Predictive Modeling
- Generative AI for Creativity
The course includes hands-on projects, real-world AI applications in design, case studies, and AI-powered design tool training.
Yes, upon successful completion, you will receive a Certification in AI & ML from INSD Designing Institute.
The course offers a mix of live instructor-led sessions, recorded video lectures, and interactive assignments.