Artificial Intelligence and Machine Learning
Artificial Intelligence and Machine Learning Training Program
Artificial Intelligence and Machine Learning
Become an AI asset to an IT Industry! A non-layoff role!
Artificial Intelligence and Machine Learning Training Program
Course Overview
Our Artificial Intelligence (AI) course provides a comprehensive introduction to the concepts, tools, and applications behind today’s intelligent systems. Designed for beginners and professionals alike, this programme covers foundational AI principles, machine learning techniques, real-world applications, and hands-on project development.
Learners will gain the skills needed to understand, build, and apply AI technologies across multiple industries.
Duration
12 Weeks (Full-time) / 16 Weeks (Part-time)
Batch Size
Maximum 5 students
Prerequisites
Basic IT Knowledge, Python Fundamentals
Certification
Completion Certificate and LoR
Course Curriculum
Our comprehensive curriculum is designed by industry experts to ensure you master the most in-demand cloud computing skills.
Introduction to AI
and ML for Beginners
History and evolution of AI
AI applications across domains (Healthcare, Agriculture, Finance, Robotics, etc)
Problem-solving and Search Strategies
Intelligent Agents and Environments
Essential Mathematics for AI/ML.
Fundamentals of Computing
and Python Basics
Introduction to Programming Concepts
Setting up a Development Environment (e.g., Jupyter/Colab Notebooks)
Basics of Python
Introduction to Data Types
Introduction to Variables
Introduction to Constants
Introduction to Operators
Introduction to Input-Output
Introduction to Basic formatting
Introduction to Control Structures
Introduction to Loops
Introduction to Functions
Introduction to Libraries (NumPy, Pandas)
Lab 1 - Basic Python Programs
Lab 2 - Basic Python Programs
Data Pre-processing & Exploratory
Data Analysis (EDA)
Data Cleaning
Data Representation and Visualization (Histogram and Bar Chart)
Data Cleaning & Pre-processing - Reading and Writing Data
Data Indexing and Selection
Data Frame Operations
Summarizing Data
Identifying Patterns
Basic Statistical Tests
Feature Engineering and Transformation.
Lab1- Perform EDA on a Real Dataset (e.g., Titanic, Iris, or COVID-19 data).
Lab2- Outlier Detection and Handling using Statistical methods (IQR, Z-score).
Introduction to Machine
Learning
Difference between AI and ML
Supervised, Unsupervised and Reinforcement Learning
Introduction to different Classification Models
Introduction to Model Evaluation
Confusion Matrix
Precision
Recall
F1-Score
ROC-AUC, hyperparameter tuning, Bias-variance trade off, overfitting & underfitting.
Lab 1- Developing prediction models for classification, train and evaluate classification models (Decision Tree, SVM, KNN).
Lab 2- A mid-level project applying classification on a real-world dataset.
Regression Models and
Unsupervised learning
Linear Regression
Multiple Regression
Logistic Regression
Evaluation Metrics for Regression (MSE, RMSE, R²)
Clustering- K-means clustering
Hierarchical Clustering.
Lab 1- Implement Regression from scratch on a Dataset
Lab 2- Perform Clustering on a Real-world Dataset
Deep Learning Techniques
and its applications
Dense Feedforward Neural Networks
Introduction to Neural Networks
Interconnections among Nodes
Design issues for Neural Nets
Linear Algebra Notation
Activation Functions
Loss Functions
Backpropagation and Gradient Descent - Gradients, Jacobians, and the Chain Rule
The Backpropagation Algorithm
Iterating Gradient Descent
Introduction to Convolutional Neural Networks
Convolutional Layers
Convolution and Cross-Correlation
Pooling Layers
CNN Architecture
Regularization: Norm Penalties, Dropout, Early Stopping
Generative Models - GANs (Generative Adversarial Networks)
Autoencoders and their Applications.
Lab1- Implement a CNN for Image Classification
Lab 2- Implement a GAN to Generate Synthetic Images.
Book a Free Session
Reserve your spot in our upcoming free Cloud Computing training session and discover how our program can help advance your career.
Career Progression
Follow your journey from entry-level positions to expert roles in the AI industry
AI Engineer
Work with real datasets and build ML models This is where you begin solving real-world problems. Supervised/Unsupervised learning Model training & evaluation
Average Salary: £34,000 – £45,000
AI ML Engineer / Data Scientist
Build intelligent systems and specialised models. You start working with advanced architectures. Neural Networks, CNNs, RNNs, Deep Learning frameworks (TensorFlow / PyTorch). Natural Language Processing (NLP)
Average Salary: £45,000 – £65,000
AI Research Scientist / Consultant
Scale AI solutions for production. You move from building models to deploying them in real systems. Innovate, lead teams, design future AI solutions. Drive innovation and decision-making.
Average Salary: £75,000 – £110,000+
AI Engineer
Work with real datasets and build ML models This is where you begin solving real-world problems. Supervised/Unsupervised learning Model training & evaluation
Average Salary: £34,000 – £45,000
AI ML Engineer /
Data Scientist
Build intelligent systems and specialised models. You start working with advanced architectures. Neural Networks, CNNs, RNNs, Deep Learning frameworks (TensorFlow / PyTorch). Natural Language Processing (NLP)
Average Salary: £45,000 – £65,000
AI Research Scientist / Consultant
Scale AI solutions for production. You move from building models to deploying them in real systems. Innovate, lead teams, design future AI solutions. Drive innovation and decision-making.
Average Salary: £75,000 – £110,000+
AI Engineer
Work with real datasets and build ML models This is where you begin solving real-world problems. Supervised/Unsupervised learning Model training & evaluation
Average Salary: £34,000 – £45,000
AI ML Engineer /
Data Scientist
Build intelligent systems and specialised models. You start working with advanced architectures. Neural Networks, CNNs, RNNs, Deep Learning frameworks (TensorFlow / PyTorch). Natural Language Processing (NLP)
Average Salary: £45,000 – £65,000
AI Research Scientist / Consultant
Scale AI solutions for production. You move from building models to deploying them in real systems. Innovate, lead teams, design future AI solutions. Drive innovation and decision-making.
Average Salary: £75,000 – £110,000+
Ready to start your AI Journey?
Join our next batch and transform your career with in-demand skills.
Testimonials
What Our Students Say
"The hands-on labs with real cloud platforms helped me understand complex cloud architecture concepts. Within 2
months of completing the course, I landed a job as a junior cloud engineer!"
"Coming from a system administration background, I was worried about transitioning to cloud. The instructors were incredibly supportive, and the curriculum was well-structured for professionals looking to upskill.
"The hands-on labs with real cloud platforms helped me understand complex cloud architecture concepts. Within 2
months of completing the course, I landed a job as a junior cloud engineer!"
"Coming from a system administration background, I was worried about transitioning to cloud. The instructors were incredibly supportive, and the curriculum was well-structured for professionals looking to upskill.
Some FAQ
Frequently Asked Questions
Do I need programming experience to take this course?
While some basic programming knowledge is helpful, our course starts with Python fundamentals to ensure everyone can follow along. If you’re completely new to programming, we recommend taking our introductory Python course first.
How much time should I dedicate per week?
For the full-time program, expect to dedicate 30-40 hours per week. For the part-time program, we recommend 15-20 hours per week including classes and assignments.
Will there be job placement assistance?
Yes, we offer comprehensive career support including resume building, interview preparation, and connections with our hiring partners. Our placement rate is over 85% within three months of course completion.
Is there a certificate upon completion?
Yes, upon successfully completing the course and final project, you’ll receive an industry-recognized Cloud Computing certification from White Fire.
