Applied Artificial Intelligence & Data Science

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Completion requirements

Course Overview

This Artificial Intelligence program offers an in-depth overview of AI and data science topics, including foundational mathematics, data preprocessing with Python, supervised and unsupervised learning, natural language processing, neural networks, and advanced deep learning techniques. In this AI certification training, you will learn how to use Python and industry-standard libraries like NumPy, Pandas, TensorFlow, and Keras to build and deploy intelligent solutions. The curriculum is designed to take you from core mathematical principles to cutting-edge deep learning models, ensuring you gain both theoretical understanding and practical, job-ready skills.

Why this is a gamechanger for 16+:

For anyone 16 or older, this program turns a complex, often intimidating field into a clear path from zero to job-ready. You don’t need to wait for college or piece together random tutorials—you get a structured, industry-aligned curriculum that builds real skills early. In a world where AI is reshaping every career, starting at 16 gives you a massive head start: you can land internships, build a portfolio, or even begin freelancing years before most peers even step into a university AI course.

Key Features

  • 180 hours of self-paced learning content

  • 12 live sessions x 2 hours each by industry experts

  • 1-month internship with partner companies in the USA and UAE

  • Free Python foundation course (8 hours) for beginners

  • Industry-based capstone project for experiential learning

  • Lifetime access to self-paced learning content

  • E-Certificate of Course Completion + Physical certificate delivery option

  • Letter of Internship upon successful completion of program and internship

  • 24/7 Learning support from mentors and community

What You’ll Learn:

  • The math that powers AI, explained simply

  • How to work with data like a pro using tools similar to spreadsheets but way more powerful

  • How to clean up messy data so it’s ready for analysis

  • How to create charts and visuals that make data easy to understand

  • How to spot patterns and make predictions (like forecasting sales or detecting fraud)

  • How to group things automatically (like sorting customers by interests without being told how)

  • How to build systems that learn from examples and get better over time

  • How to teach computers to understand human language—like chatbots that answer questions or apps that analyze reviews

  • How to build neural networks—the technology behind facial recognition and voice assistants

  • How to create AI that can recognize objects in photos and videos

  • How to build AI that understands sequences, like predicting the next word in a sentence or stock market trends

  • How to make AI that can generate new content—like creating realistic images, music, or text from scratch

  • How to use the same tools and frameworks that industry professionals use to build real-world AI applications

  • How to take your AI models and turn them into working products that people can actually use

Benefits

The global Artificial Intelligence market is expected to reach USD 1,811.75 Billion by 2030 at a Compound Annual Growth Rate (CAGR) of 36.8%, indicating the explosive adoption of AI across industries worldwide.

Designation

Annual Salary (Min)

Annual Salary (Average)

Annual Salary (Max)

Hiring Companies

AI Engineer

$85,000

$120,000

$165,000

Google, Microsoft, Amazon

Machine Learning Engineer

$90,000

$130,000

$180,000

Meta, Apple, IBM

Data Scientist

$80,000

$115,000

$155,000

JP Morgan, Pfizer, Tesla

NLP Specialist

$95,000

$135,000

$185,000

OpenAI, Uber, Accenture

Computer Vision Engineer

$92,000

$128,000

$172,000

NVIDIA, Tesla, Qualcomm

Source: Glassdoor, Indeed, LinkedIn Salary Insights


 

Eligibility

  • Students (16+), professionals, and career changers

  • No prior AI or coding experience required

  • Freshers and experienced professionals both can attend

Pre-requisites

  • Basic computer literacy

  • Comfort with logic and analytical thinking

  • Free Python foundation course (8 hours) included for absolute beginners


 

Why Join This Program

  • Develop skills for real career growth – Cutting-edge curriculum designed in guidance with industry partners to develop job-ready AI skills.

  • Learn from experts active in their field, not out-of-touch trainers – Leading practitioners who bring current best practices and case studies to sessions that fit into your work schedule.

  • Learn by working on real-world problems – Capstone projects involving real-world datasets with virtual labs for hands-on learning.

  • Structured guidance ensuring learning never stops – 24x7 Learning support from mentors and a community of like-minded peers to resolve any conceptual doubts.

  • 1-month internship with partner companies – Gain practical, resume-worthy experience with companies in the USA and UAE.

  • Global cohort & networking – Connect with peers across India, UAE, USA, and other regions.

  • Certification & career support – Receive an industry-recognized certificate and a Letter of Internship to jumpstart your AI career.

Student & Professional Reviews

Aarav Mehta

AI Engineer at Cognizant
This course was a game-changer for me. The blend of math fundamentals and hands-on deep learning projects gave me the confidence to switch careers. The internship placement with a UAE-based company added real-world experience to my resume. Highly recommend!

Fatima Al Zahra

Data Scientist, Dubai
Executive Learning’s AI program is meticulously designed. The live sessions were interactive, and the instructors clarified every doubt patiently. The capstone project on NLP was particularly impactful and helped me land my current role.

Karan Sharma

Machine Learning Engineer
I came in with zero coding experience. The free Python foundation module was a lifesaver. By the end of the 3 months, I was building CNN models from scratch. The internship opportunity gave me the practical exposure I needed.

Sara Johnson

Senior Business Analyst, USA
The program’s curriculum is comprehensive yet easy to follow. I appreciated the focus on real-world messy data and ensemble techniques. The 24/7 support and community helped me stay on track despite my busy work schedule.

Vikram Rajput

Product Manager
I took this course to upskill and lead AI projects more effectively. The insights into supervised learning, NLP, and GANs were invaluable. The certification added credibility, and the networking with peers across UAE and India was an added bonus.

Li Wei

Software Developer, Singapore
The TensorFlow and Keras modules were outstanding. I now feel comfortable building and deploying deep learning models. The internship component is what sets this program apart—it’s not just theory, it’s real application.

Ahmed Elsayed

AI Consultant, Cairo
Great value for money. The instructors are industry practitioners, not just academics. They shared case studies from their own work, which made concepts relatable. I also appreciated the flexible timing that worked across time zones.

Neha Gupta

Data Analyst
The statistics and probability modules built a strong foundation. I never truly understood hypothesis testing until this course. The live sessions on weekends fit perfectly with my full-time job. Thank you, Executive Learning!