AI & Machine Learning
Beginner to Mastery
Comprehensive Applied Data Science & AI curriculum
Hands-on projects with real-world applications
Taught by industry experts
Focus on industry-relevant tools and technologies
Group Enrollment with Friends or Colleagues
300 Hours
14 September 2025
Live. Online. Interactive.
Flexible learning paths
Globally recognized certification
Career support and networking opportunities
Strong emphasis on practical skills and innovation
Learn to lead high-demand careers in data analysis, Machine Learning and AI not limited by industry inclination.
Gain expertise across all major aspects of artificial intelligence and machine learning.
Work on projects which develop real-world skills and experience.
Get trained about the latest tools and tricks that are currently trending in Industry.
14 September 2025
30 MINUTE MEETING
Web conferencing details provided upon confirmation.
Corporate Training, Enterprise training for teams
Batch | Batch Type |
---|---|
Online Live Instructor Led Session | Full-Time |
Online Live Instructor Led Session | Part-Time |
Batch | Batch Type |
---|---|
IST (India Standard Time) | 09:00 PM–12:00 AM |
Bahrain, Qatar, Kuwait, Saudi Arabia | 06:30 PM–09:30 PM |
UAE / Oman | 07:30 PM–09:00 PM |
This Program provides a structured path through the world of artificial intelligence, beginning with Python programming skills and basic statistics. With this bundle, you’ll delve into machine learning, deep learning, computer vision and natural language processing to acquire the tools of this trade. The program also covers reinforcement learning, equipping you to develop AI solutions that learn from interactions. By the end, you’ll have a strong foundation to apply AI technologies in real-world scenarios.
ENROLL NOW & BOOK YOUR SEAT AT FLAT 50% WAIVER ON FEE
Enroll Now →This course aims to provide a comprehensive understanding of key AI and ML principles. You will start from Python Programming then go on to statistical methods for data analysis. It enables you to have hands-on experience of machine learning algorithms and go deep for computer vision, natural language processing etc. You will also learn about reinforcement learning which is a subcategory of machine learning that examines how AI agents may improve by just carrying out some actions. It sounds like a lot, but by bringing all of these elements together the course is designed to help you solve hard problems and do serious innovation in AI
Enroll Now →Gain proficiency in Python programming, statistical analysis, and data visualisation to effectively explore and understand data.
Learn machine learning and deep learning techniques to create intelligent systems capable of making accurate predictions and decisions.
Discover hidden patterns and insights within your data through data analysis and feature engineering, driving informed decision-making.
Design and optimise neural networks for advanced tasks like computer vision and natural language processing.
Discover how AI agents learn at an intuitive level by interacting with their environment and improving over time.
Apply your know-how to craft solutions for critical problems at the heart of AI.
Learn the most popular skills required to get a job in one of the fastest growing fields, AI.
Effectively convey complex information and findings using data visualisation techniques.
Comprehensive skill set in Python programming, statistical analysis, machine learning, deep learning, computer vision, NLP and Reinforcement learning.
Industry-relevant knowledge with a focus on current tools and approaches.
Practical experience through projects and assignments.
Expert instruction from knowledgeable educators.
Familiarity with the latest libraries and frameworks.
Development of critical thinking and problem-solving abilities.
Career advancement opportunities include various roles such as Data Analyst, ML Engineer, Deep Learning Engineer, Computer Vision Engineer, NLP Engineer, Data Scientist, AI Engineer and AI specialist.
A collaborative classroom environment that encourages teamwork and relationship-building.
Create a portfolio for employers to see skills.
Foundation for continued learning in an evolving world of Data Science and AI.
Min
$85,000
Average
$110,000
Max
$140,000
Practice Essential Tools
Designed By Industry Experts
Get Real-world Experience
WE CAN APPLY FOR JOBS IN
Create and Deploy AI Models, & Solutions for Real World Problems
Collect, clean and preprocess data to prepare high level inputs of your ML algorithm.
Monitor, tune and enhance AI model performance.
Work with cross-functional teams (data scientists, ML/AI engineers) to integrate AI solutions.
Stay updated with the latest advancements in AI and machine learning technologies.
Document development processes and communicate results to technical and non-technical stakeholders.
Ensure ethical AI practices, focusing on fairness, transparency, and responsible use of AI technologies.
Identify and solve technical challenges, driving innovation in AI projects.
Ensure scalability and effective deployment of AI models in production environments.
Engage in continuous learning to keep pace with emerging tools and methodologies in AI.
The application process consists of three simple steps. An offer of admission will be made to selected candidates based on the feedback from the interview panel. The selected candidates will be notified over email and phone, and they can block their seats through the payment of the admission fee.
We partnered with financing companies to provide competitive finance options at 0% interest rate with no hidden costs.
Batch | Date | Time (IST) | Batch Type |
---|---|---|---|
Online Live Instructor Led Session | 30 August 2025 | 9 PM to 12 AM | Batch 1 |
Online Live Instructor Led Session | 14th Sept 2025 | 9 PM to 12 AM | Batch 2 |
Feature | Our Course | COMPETITOR A |
---|---|---|
Curriculum Depth | Comprehensive, covering Python, ML, DL, NLP, CV, and RL | Often focused on basic concepts or specific areas like ML or DL |
Hands-On Experience | Emphasises practical projects and real-world applications | Varies; may include limited practical exposure |
Instructor Expertise | Taught by industry professionals and experts | Often led by academic instructors or general trainers |
Industry-Relevant Skills | Focused on current tools and technologies used in the industry | May include outdated or less industry-relevant content |
Certification | Provides globally recognized certification | Certification may not be widely recognized |
Career Support | Includes career services and networking opportunities | Limited or no career support offered |
Flexibility | Structured yet adaptable learning paths | May have rigid schedules or limited flexibility |
Learning Resources | Access to extensive resources, including updated materials | Often limited to basic learning materials |
Project-Based Learning | Strong focus on project-based learning | May include fewer or less challenging projects |