Artificial Intelligence Course Online
ONLEI Technologies Provides Best Artificial Intelligence Course Online for Professionals and Beginners, Professional AI (Artificial Intelligence) Certification
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Best Artificial Intelligence Course Online
ONLEI Technologies is a leading Best Artificial Intelligence Course Online and Certification Course Provider in India offering advanced AI courses to all our students who are hungry to explore the technology under Certified Industry Experts.
Artificial Intelligence (AI) has rapidly gained prominence as one of the most transformative technologies of our time. Its applications span across various industries, from healthcare and finance to transportation and entertainment. As the demand for professionals skilled in AI continues to rise, ONLEI Technologies offers an immersive and comprehensive AI course designed to equip individuals with the knowledge and practical skills needed to thrive in this field.
Artificial Intelligence, or AI for short, might sound like something straight out of a sci-fi movie, but it’s actually a fascinating field of study that focuses on creating intelligent machines. In simple terms, AI refers to the ability of machines to perform tasks that would typically require human intelligence.
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Artificial Intelligence Course Content
Artificial Intelligence Course Curriculum
- Definition and Scope of AI
- Understanding AI and its various subfields.
- History and Evolution of AI
- Key milestones and advancements.
- Applications of AI
- AI in healthcare, finance, transportation, and other industries.
- AI vs. Data Science vs. Machine Learning
- Clarifying the distinctions and overlaps.
- Python Basics Refresher
- Syntax, data types, control structures, functions, and modules.
- Essential Python Libraries
- NumPy: Numerical computations.
- Pandas: Data manipulation and analysis.
- Matplotlib & Seaborn: Data visualization.
- Scikit-Learn: Machine learning algorithms.
- Environment Setup
- Jupyter Notebooks, Anaconda distribution, and virtual environments.
- Best Practices
- Code organization, documentation, and version control with Git.
- Data Collection and Acquisition
- Sources of data, APIs, web scraping.
- Data Cleaning and Preprocessing
- Handling missing values, outliers, and data normalization.
- Exploratory Data Analysis (EDA)
- Descriptive statistics, data visualization techniques.
- Feature Engineering
- Creating meaningful features, feature selection methods.
- Data Wrangling with Pandas
- Advanced data manipulation techniques.
- Descriptive Statistics
- Measures of central tendency and variability.
- Inferential Statistics
- Hypothesis testing, confidence intervals.
- Probability Theory
- Probability distributions, Bayes’ theorem.
- Linear Algebra and Calculus Basics
- Vectors, matrices, derivatives, gradients.
- Supervised Learning
- Regression: Linear Regression, Ridge, Lasso.
- Classification: Logistic Regression, Decision Trees, Support Vector Machines (SVM), k-Nearest Neighbors (k-NN).
- Unsupervised Learning
- Clustering: k-Means, Hierarchical Clustering, DBSCAN.
- Dimensionality Reduction: Principal Component Analysis (PCA), t-Distributed Stochastic Neighbor Embedding (t-SNE).
- Model Evaluation and Selection
- Cross-validation, bias-variance tradeoff, hyperparameter tuning.
- Ensemble Methods
- Random Forests, Gradient Boosting Machines (GBM), XGBoost.
- Support Vector Machines (SVM)
- Kernel methods, margin optimization.
- Decision Trees and Random Forests
- Tree construction, feature importance.
- Gradient Boosting Algorithms
- Boosting principles, implementation with XGBoost and LightGBM.
- Model Deployment
- Saving models, deploying with Flask or Streamlit.
- Introduction to Neural Networks
- Neurons, activation functions, network architectures.
- Training Neural Networks
- Backpropagation, gradient descent optimization.
- Deep Learning Frameworks
- TensorFlow and Keras overview.
- Convolutional Neural Networks (CNNs)
- Architecture for image processing tasks.
- Recurrent Neural Networks (RNNs) and LSTM
- Handling sequential data for tasks like language modeling.
- Transfer Learning
- Utilizing pre-trained models for new tasks.
- Text Preprocessing
- Tokenization, stemming, lemmatization, stopword removal.
- Text Representation
- Bag of Words, TF-IDF, word embeddings (Word2Vec, GloVe).
- NLP Tasks
- Text classification, sentiment analysis, named entity recognition (NER).
- Advanced NLP Techniques
- Transformer models, BERT, GPT architectures.
- Image Processing Basics
- Filtering, edge detection, image transformations.
- Advanced CNN Architectures
- ResNet, Inception, VGG.
- Object Detection and Segmentation
- YOLO, SSD, Mask R-CNN.
- Practical Applications
- Image classification, object detection, facial recognition.
- Project Lifecycle
- Problem definition, data collection, model building, deployment.
- Case Studies
- Real-world AI applications across various industries.
- Project
- Comprehensive project integrating data science, machine learning, and AI techniques to solve a real-world problem.
Real Time Projects List
Description: Develop a regression model to predict house prices based on features like location, size, number of rooms, and other relevant factors. This project helps in understanding how different variables impact property prices.
- Description: Create a classification model to predict whether a customer will leave (churn) a service based on their usage patterns, demographics, and interaction history. This is commonly used in telecom, banking, and subscription-based services.
Description: Build a model that analyzes text data (e.g., tweets, reviews) and classifies it as positive, negative, or neutral. This project is useful for understanding public opinion and customer feedback.
Description: Implement a Natural Language Processing (NLP) model that can summarize long articles or documents into shorter, coherent summaries. This is valuable for creating concise reports from large documents.
Description: Develop an AI-powered chatbot capable of holding a conversation, answering queries, or assisting users with tasks. Chatbots are widely used in customer support, e-commerce, and virtual assistants.
Description: Create a system that can identify or verify a person from an image or video by comparing facial features. This project involves computer vision techniques and is used in security systems and identity verification.
Description: Create a predictive model to forecast stock prices or market trends based on historical data, news, and other financial indicators. This project involves time series analysis and machine learning.
Description: Build a recommendation engine that suggests products, movies, or music to users based on their past behavior and preferences. Commonly used in e-commerce, streaming services, and social media.
Description: Develop a classification model to identify and filter out spam emails from a user’s inbox. This project involves text classification and feature extraction techniques.
Description: Create a personalized movie recommendation system based on users’ viewing history, ratings, and preferences. This involves collaborative filtering and content-based filtering techniques.
AI Course Certification - AI Professional Certificate
Certified AI Course Training : ONLEI Technologies is a leading Best Artificial Intelligence Course Online and Certification Course Provider in India.
AI has become increasingly important in our modern world. From voice assistants like Siri and Alexa to self-driving cars and personalized recommendations on streaming platforms, AI is everywhere. It has the potential to revolutionize industries such as healthcare, finance, and transportation, making our lives easier and more efficient.
Best Artificial Intelligence Course Online
In our Artificial Intelligence course at ONLEI Technologies, we cover a range of core concepts to give you a solid foundation in AI. You’ll learn about machine learning, natural language processing, computer vision, and neural networks. We also delve into the ethical considerations and societal impacts of AI.
Our course aims to equip you with the necessary skills to understand, develop, and implement AI solutions. By the end of the course, you’ll be able to build machine learning models, analyze data using AI techniques, and apply AI algorithms to real-world problems. Whether you’re a beginner or already have some AI knowledge, our curriculum is designed to accommodate all skill levels.
Artificial Intelligence is being used in numerous real-world applications. For instance, in the healthcare industry, AI is employed for diagnosing diseases, drug discovery, and personalized medicine. In the financial sector, AI algorithms are utilized for fraud detection and risk assessment. Even in everyday life, AI powers virtual assistants, social media algorithms, and recommendation systems.
Join Artificial Intelligence Course at ONLEI Technologies
Artificial Intelligence is revolutionizing industries across the globe, creating a high demand for skilled professionals. By completing our course, you’ll equip yourself with the knowledge and skills needed to pursue exciting job roles in AI.
From data scientists to machine learning engineers, the career opportunities in AI are vast. With the right skills, you could find yourself working on cutting-edge projects, shaping the future of technology.
ONLEI Technologies Placement Process
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Our Alumni work at some of the best companies in the world
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- Focused on Job oriented courses and Skill development
- Dedicated centralized placement division
- 500+ associated corporate trainers
- 250+ Training/Internship courses
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- Expert Assistance for Interview Preparation
- We provide Internship on Real Time Projects.
- Flexibility in batch timings and follows 1:5 , 1:6 and 1:10 ratio where a batch will consist of 5 to 10 students for better training.
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ONLEI Technologies Unique and Advanced techniques with combinations of courses as per your requirement . We also assure you the knowledge with perfection with no matter of time.
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