Proleed's AI & Machine Learning Training Course in Yamunanagar turns your passion into profession with expert training and real-world AI experience.
Average Salary of AI & Machine Learning Developer
Future of AI & Machine Learning Career
Definition and Scope of AI
History and Evolution of AI
Applications of AI in Real Life
Types of AI: Narrow, General, Super
Weak AI vs Strong AI
AI vs Machine Learning vs Deep Learning
Symbolic AI and Classical Approaches
Intelligent Agents
Turing Test and Rational Agents
Ethics and Social Implications of AI
Introduction to Python Programming
Data Types, Variables, and Operators
Control Structures and Loops
Functions and Lambda Expressions
Lists, Tuples, Dictionaries, Sets
File Handling in Python
Exception Handling
Modules and Packages
Working with Jupyter Notebooks
Introduction to Virtual Environments
Introduction to OOP
Classes and Objects
Constructors and Destructors
Inheritance (Single, Multiple, Multilevel)
Polymorphism
Encapsulation
Abstraction
Method Overloading and Overriding
Class vs Instance Variables
Real-world Examples using OOP
NumPy for Numerical Computation
Pandas for Data Manipulation
Matplotlib for Data Visualization
Seaborn for Statistical Plots
Scikit-learn for ML Models
TensorFlow for Deep Learning
PyTorch for Neural Networks
OpenCV for Computer Vision
NLTK and spaCy for NLP
Hugging Face Transformers Library
Linear Algebra Basics (Vectors, Matrices)
Matrix Multiplication & Inversion
Calculus Basics (Derivatives & Integrals)
Partial Derivatives and Chain Rule
Probability and Statistics
Descriptive vs Inferential Statistics
Mean, Variance, Standard Deviation
Bayes’ Theorem
Gradient and Gradient Descent
Eigenvalues and Eigenvectors
Understanding Structured and Unstructured Data
Data Collection Methods
Data Cleaning and Imputation
Feature Engineering
Feature Scaling (Normalization, Standardization)
Handling Missing and Outlier Values
Encoding Categorical Variables
Data Splitting: Train/Test/Validation
Data Visualization for EDA
Data Pipelines and Automation
Machine Learning Fundamentals
Feature Extraction
Fine Tuning Hyperparameters
Supervised Learning
Unsupervised Learning
Reinforcement Learning
Semi-Supervised
Gradient descent
Model Evaluation & Selection
Regression
GoogleColab
Introduction to Supervised Learning
Linear Regression
Logistic Regression
Decision Trees
Support Vector Machines (SVM)
K-Nearest Neighbors (KNN)
Naive Bayes Classifier
Random Forests
Gradient Boosting Machines (XGBoost, LightGBM)
Evaluation Metrics (Accuracy, Precision, Recall, F1)
Introduction to Unsupervised Learning
K-Means Clustering
Hierarchical Clustering
DBSCAN
Principal Component Analysis (PCA)
t-SNE for Dimensionality Reduction
Anomaly Detection
Association Rule Mining
Recommendation Systems
Evaluation of Clustering
Basics of RL and Agents
Environment and Reward System
Markov Decision Process (MDP)
Q-Learning
Deep Q-Networks (DQN)
Policy Gradient Methods
Actor-Critic Models
Exploration vs Exploitation
OpenAI Gym Environments
Real-life Applications of RL
Introduction to Neural Networks
Perceptron’s and MLPs
Activation Functions
Forward and Backpropagation
Loss Functions
Convolutional Neural Networks (CNNs)
Recurrent Neural Networks (RNNs)
Long Short Term Memory(LSTM)
Generative Adversarial Network(GAN)
Autoencoders
Deep Learning Frameworks (TF, PyTorch)
Text Preprocessing (Tokenization, Lemmatization)
Bag of Words and TF-IDF
Word Embedding’s (Word2Vec, GloVe)
Named Entity Recognition (NER)
POS Tagging
Sentiment Analysis
Text Classification
Topic Modeling (LDA)
Transformers in NLP
Language Translation and Generation
Introduction to CV and Image Processing
Image Representation and Color Models
Image Filtering and Edge Detection
Object Detection (Haar, HOG)
CNNs for Image Classification
Image Augmentation Techniques
Face Detection and Recognition
Transfer Learning with CNNs
Image Segmentation
OCR (Optical Character Recognition)
What are LLMs?
Transformer Architecture
GPT, BERT, T5 Comparison
Pertaining and Fine-tuning
Prompt Engineering
Zero-shot, Few-shot Learning
Using Hugging Face Models
Text Generation and Completion
Semantic Search with LLMs
LLM APIs (OpenAI, Cohere)
Definition and Evolution of AI Agents
ReAct and Chain-of-Thought Reasoning
LangChain Agents
AutoGPT and BabyAGI
Tool Use and Function Calling
Agent Memory and Planning
Multi-Agent Collaboration
Task Automation with Agents
Human-in-the-Loop Design
Guardrails and Safety
Introduction to Robotics
Sensors and Actuators
Robotic Kinematics
Perception and SLAM
Path Planning Algorithms
Robotic Control Systems
Vision-Based Navigation
ROS (Robot Operating System)
Simulators (Gazebo, Webots)
AI for Manipulation and Locomotion
Bias in AI Models
Explainable AI (XAI)
AI Governance and Compliance
Data Privacy and Protection
AI and Job Displacement
Fairness Metrics
Red-teaming and Safety Protocols
Adversarial Attacks
Responsible AI Development
AI Regulation (EU, India, Global)
Model Serialization (Pickle, Joblib)
REST APIs with FastAPI / Flask
Model Deployment with Docker
Model Monitoring and Logging
Version Control for Models
A/B Testing Models
CI/CD for ML Pipelines
Using Streamlit and Gradio
Cloud Deployments (AWS, GCP, Azure)
MLflow and Model Registry
Defining Project Objectives
Problem Formulation
Data Collection and Cleaning
Model Selection
Training and Tuning
Evaluation and Metrics
Deployment Strategy
Feedback Loop and Maintenance
Documentation and Reporting
Case Study Development
Duration | |
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4 Months (16 Weeks) |
Schedule | |||
---|---|---|---|
Weekdays Training Monday to Friday |
Daily Session
|
Weekend Training Saturday & Sunday |
Weekly Session
|
Schedule | |||
---|---|---|---|
Weekdays Training Monday to Friday |
2 Hours Daily 1hr Classroom 1hr Doubt Clearance |
||
Weekend Training Saturday & Sunday |
4 Hours Daily 2hrs Classroom 2hrs Doubt Clearance |
US dollar | USD | 850 | 1300 |
---|---|---|---|
Canadian dollar | CAD | 1150 | 1600 |
Australian dollar | AUD | 1280 | 1800 |
Sterling pound | GBP | 660 | 1050 |
New Zealand dollar | NZD | 1320 | 1900 |
Indian rupee | INR | 65,000 | 95,000 |
Fee is inclusive of all applicable taxes and include examination and certification fee.
No other hidden charges of any type.
Get seamless, interactive and personalized learning experience
powered by Google Classroom.
Eco-friendly way of learning
Paperless, No hassle
Live training sessions where you can ask queries while the class is going on
Access learning material anywhere and anytime you need though out lifetime
Doubt clearance session after every class from the same trainer to resolve your doubts
Unmatched 10:1 Student : Trainer Ratio to ensure personalized attention to every student
Working on live projects to
enhance your practical skills and knowledge
Proleed's AI & Machine Learning Training Course in Yamunanagar with live classes is a comprehensive program designed to help you build a strong foundation in AI, whether you are a beginner or a professional looking to upskill. Our complete course starts with the basics like Python programming, statistics, and linear algebra, then gradually moves into key concepts of machine learning, such as supervised and unsupervised machine learning, feature engineering, and model evaluation.
Along with that, we also cover advanced concepts like deep learning, neural networks, and natural language processing (NLP), computer vision, and how to deploy models using the most popular and industry-relevant tools such as TensorFlow, Keras and Scikit-Learn. What truly sets our training course apart is our focus on hands-on projects and practical examples that simulate real industry scenarios like recommendation systems, chatbots and image classification tasks. So join our best-rated course now, gain real skills of the world through hands-on projects, and start your journey to a rewarding career in AI & Machine Learning today.
AI delivers some of the most major inventions of the century. In the future, the growth of this field is going to increase. Businesses and industries all around the world go on connecting with the might of Artificial Intelligence, hence increasing the demand for professionals with expertise in this area.
They are looking for talented engineers with a specialization in AI Research and development. As a result of this dynamic sector, many companies offer many job opportunities for people looking to work in this field; examples include the one mentioned below.
Proleed has industry’s best placement preparation process
that enables our students to get their dream IT Job.
Our experts will help you to make professional resume for you.
We will help you to build / optimize your linkedIn profile.
We will provide you Interview Questions & Answers.
Our experts will take mock interviews to make you confident.
We will provider Guidelines to access placement Network.
Finally, You got your dream
IT job
Recognized Worldwide for IT Jobs
We provide certificate verification system to speedily verify our
student's certificates online.
We provide certificate verification system to speedily verify our
student's certificates online.
It doesn’t matter whether you’re from IT background or Non-IT background; our AI & Machine Learning Training Course in Yamunanagar will equip you with the essential knowledge and skills to turn that passion into a rewarding career.
Demanding curriculum designed by industry experts
3+ Live Projects that includes real-time use cases
Hands-on experience on advanced tools, languages & technologies
Live doubt clearance session after every lecture
Placement Preparation Process
There are two types of projects Dummy or a Live Project. In our AI & Machine learning training course you will get the chance to work on live Project. Live Project means that you work for a Client and you have to make the project as per the client needs. But on the other side the Dummy Project is that, which is created by you without any interference of client. Both the project can be uploaded on domains, but at the time of an interview live project will get more preference.
Here, we accept payment through different modes like Cash, Master Card, Visa Card, and Net Banking.
Yes Of course, Proleed’s all training courses allow you to learn every concept in in-depth form. It includes all levels of training from basic to advance along with real life based live projects. You will also get valid certification after the successful completion of course, so there is a no requirement of doing any other certification course.
Proleed gives the additional advantage of placement preparation along with all courses. After the successful completion of the AI & Machine learning training course, students are ready for the technical round of an interview, but there are some more aspects that the students require for clearing the interview. Our specialized placement cell provides placement assistance to all candidates.
There is a three different ways by which the training is delivered to candidates;
No worries, if you missed a class you can cover that topic without any problem, because our all the live lectures are recorded also. So, you can get the recorded videos of those missed sessions.
Choosing to pursue a career in artificial intelligence & machine learning is more than just a matter of job security - it opens up a wealth of opportunities for innovation and impact across the field. From healthcare to finance, companies want professionals who are experts in implementing smart systems to solve their problems and thrive in the digital landscape.
Proleed's AI & Machine Learning Training Course in Yamunanagar equips you with exactly those future-proof skills. From day one, our highly experienced instructors guide you through both the fundamentals and the latest advancements in this field, covering everything from data analysis to neural networks to NLP and computer vision. What makes our course stand out is our focus on practical learning through practical projects and assignments, which reflect real challenges of the AI & Machine Learning world. By the end of our course, you'll not only understand how AI works but also you will become able to build, implement and innovate with it. So join us today in Yamunanagar and build the latest skills that can provide you with the confidence to thrive in this dynamic field.
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