Proleed's AI & Machine Learning Training Course in London, with dedicated job placement assistance, helps you to secure a lucrative position in leading companies as a AI Specialist.
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 | |||
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Weekdays Training Monday to Friday |
Daily Session
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Weekend Training Saturday & Sunday |
Weekly Session
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Schedule | |||
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Weekdays Training Monday to Friday |
2 Hours Daily 1hr Classroom 1hr Doubt Clearance |
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Weekend Training Saturday & Sunday |
4 Hours Daily 2hrs Classroom 2hrs Doubt Clearance |
Canadian Dollar
1150 1600
Fee is inclusive of all applicable taxes.
Include examination and certification fee.
No 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 online AI & Machine Learning training in London, with live sessions provides an interactive session with experienced teachers where students can get high-quality training from the comfort of their own homes. These are live classes wherein participants get the opportunity to interact with the advanced resources, get their questions answered in real-time, and receive immediate feedback from teachers while working on real-world projects with other participants.
Through an interactive format, students can enhance the clarity of concepts by way of taking part in live discussions which enables them advantage of extra knowledge related to this field. Additionally, we offer access to all the recorded sessions for the convenience of participants enabling them to go through the essential concepts at their own pace. This flexibility of online learning empowers participants to enhance their learning experience and maximize learning outcomes. Join us today and develop your career in this competitive field with us.
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 London will equip you with the essential knowledge and skills to turn that passion into a rewarding career in London.
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.
Yes, absolutely! Completing our AI & Machine Learning Training Course opens up excellent job prospects in London's thriving tech industry. As the demand for AI professionals continues to soar, your newly acquired skills and knowledge will position you for rewarding career opportunities in this cutting-edge field.
The field of AI & Machine Learning is booming which creates many exciting job opportunities for professionals to explore. But to secure job in this growing field one must have a right skills and knowledge in this field.
Proleed's Training Course in AI and Machine Learning, London is designed for equipping you with the right skills and knowledge for success in this field. Our course curriculum is comprehensive, covering a wide range of topics, practical hands on projects and practice exercises to strengthen your learning. Moreover, our industry expert instructors provide you personalized guidance and mentorship to make sure that you not only grasp complex concepts easily but also gain the confidence to excel in AI related roles. Whether you are newcomer looking to enter in this field or working professional looking to enhance your skills, this comprehensive course provides you everything that you need to become a highly skilled AI professional in the growing tech landscape.
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