AI & Machine Learning Training Course

Our AI & Machine Learning Training Course with Job placement support will help you start a successful career in AI & Machine Learning.

Average Salary of AI & Machine Learning Developer

$110,569 per annum

Future of AI & Machine Learning Career

12.2 Million Jobs till 2025

Proleed's Premium Learning Model helps us
achieve 100% Placement Record

Join the League of 30k+ Participants Across 18 Countries Trained by Proleed

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Most Advanced AI & Machine Learning Training Course That Cover All In-demand Tools & Technologies

AI & Machine Learning Training Course - Technology - Python
AI & Machine Learning Training Course - Technology - OOPS
AI & Machine Learning Training Course - Technology - NLP
AI & Machine Learning Training Course - Technology - Machine Learning
AI & Machine Learning Training Course - Technology - Deep Learning

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AI & Machine Learning Training Course Curriculum

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

AI & Machine Learning Training Course Schedule

Live Online Instructor Led Session

Duration

4 Months

(16 Weeks)


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

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

AI & Machine Learning Training Course Fee

Limited Time Offer

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.

Advance Learning
Management System

Get seamless, interactive and personalized learning experience
powered by Google Classroom.

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  • Lifetime Access to Course Material
  • Effective and efficient Communication
  • Recoding of every live session
  • Streamline assignments
  • Easy grading
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Eco-friendly way of learning
Paperless, No hassle

Why Proleed Should Be Your Only Choice

Instructor-Led Live Training Sessions

Live training sessions where you can ask queries while the class is going on

Advanced Learning Management System

Access learning material anywhere and anytime you need though out lifetime

Instant Doubt Clearance Sessions

Doubt clearance session after every class from the same trainer to resolve your doubts

Premium 10:1 Student : Trainer Ratio

Unmatched 10:1 Student : Trainer Ratio to ensure personalized attention to every student

Hands-on Experience on Live Projects

Working on live projects to
enhance your practical skills and knowledge

AI & Machine Learning Online Training Course with Live Classes

Proleed realizes the importance of online education that goes beyond basics; that's why we offer the AI & Machine Learning Online Training Course with live classes, where learners can gain knowledge about AI & Machine Learning from the comfort of their homes. We arrange online live classes with dynamic and engaging learning environment, where each student can ask a question and get feedback instantly.

Our expert instructors are ready to help each student by providing personalized guidance and support to make sure they build the skills and knowledge they require for a bright career. You will be well-prepared to make significant contributions with access to comprehensive resources, real-world projects, and a collaborative learning environment in the rapidly changing world of AI and Machine Learning. Join us to move ahead in this state-of-the-art career.

What’s included?

  • Interactive Sessions that foster active participation
  • Instant-Doubt Clearance Sessions
  • Collaborative Learning Environment
  • Access high-quality education

10:1

Student: Trainer Ratio

Premium learning that universities like Oxford & Harvard offer
in Academics

First Time ever in IT Training by Proleed

Career Prospects

  • Artificial Intelligence Developer
  • Artificial Intelligence Engineer
  • Artificial Intelligence Expert
  • AI Researcher
  • AI Scientist
  • Machine Learning Developer
  • Machine Learning Engineer
  • Machine Learning Expert
  • AI Software Engineer
  • AI Architect
  • AI & Machine Learning Jobs Globally

    Worldwide Demand, Limitless Opportunities

    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.

    hightouch
    Apple
    microsoft
    tesla
    google
    absolute
    fortinet
    sage
    hsbc
    deloitte

    On-the-spot Live Doubt Clearance Sessions with every lecture. No waiting!

    Proleed offers the daily one hour doubt clearing session for providing the better learning environment to students.

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    Get 100% Placement Support from us
    until you get Placed

    Proleed has industry’s best placement preparation process
    that enables our students to get their dream IT Job.

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    Step 1: CV Preparation

    Our experts will help you to make professional resume for you.

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    Step 2: Building LinkedIn Profile

    We will help you to build / optimize your linkedIn profile.

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    Step 3: Interview Questionnaires

    We will provide you Interview Questions & Answers.

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    Step 4: Mock Interviews

    Our experts will take mock interviews to make you confident.

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    Step 5: Placement Network

    We will provider Guidelines to access placement Network.

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    Step 6: Got Dream job

    Finally, You got your dream
    IT job


    Companies which have hired our students

    Become job ready by getting practical experience through real life corporate projects

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    Global Certification

    Accredited by USA

    Recognized Worldwide for IT Jobs

    We provide certificate verification system to speedily verify our
    student's certificates online.

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    We provide certificate verification system to speedily verify our
    student's certificates online.

    Who Can Take AI & Machine Learning Training Course?

    It doesn’t matter whether you’re from IT background or Non-IT background; our AI & Machine Learning Training Course will equip you with the essential knowledge and skills to turn that passion into a rewarding career.

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    IT Students

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    Non-IT students

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    New Graduates

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    Experienced

    What is included in this course?

    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

    Join Free Live Class

    Frequently Asked Questions

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    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;

    • Live-Instructor Led Classes
    • Fast-Track Training
    • Corporate Training

    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.

    Trending Courses

    AI & Machine Learning Training Course

    A career in AI and Machine Learning is one of the maximum promising and rewarding careers in the future. Companies are actively trying to find professionals who have the proper skills and knowledge in this area that force innovation and preserve a competitive facet.

    Proleed's AI & Machine Learning Training Course offers you the skills and knowledge that you need for a successful career in this dynamic field. Throughout the learning journey, our experienced instructors will help you develop an in-depth understanding of technology and the practical skills that will help you kick start your bright career in AI and Machine Learning. Our comprehensive curriculum covers important subjects related to neural networks, data analysis, natural language processing, and computer vision, so you will be very well conversant with the latest advancements. You will be prepared to handle complex challenges and innovate in the AI landscape by working on hands-on projects and real-world applications. Enroll now and see your career flourish in the field.

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