About the AI with ML and Deep Learning Course

According to a Tractica forecast, the annual global AI and Machine Learning revenue is set to rise from $3.2 billion in 2016 to $89.8 billion by 2025.The AI & Machine Learning industry is responsible for leading the upcoming digital disruption, and businesses across the globe are getting ready to embrace it.

This course will help you master Deep Learning, Machine Learning, and other programming languages needed to enhance your career in this domain

Lecteron’s AI with ML and Deep Learning is strategically designed and developed by world-class domain experts. This certification in your resume provides you the much needed competitive edge that sets you apart from your peers.

What you Learn

The AI with ML and Deep Learning validates your knowledge about the Artificial Intelligence domain and is a globally accepted certification. After the completion of the course, you will see yourself as a highly proficient Artificial Engineer and confidently add the most sought after skills to your CV.

The course is designed to make you exam-ready and help you pass the exam in the first go.

High Level Learning Objectives

• Gain knowledge of Artificial Intelligence concepts 
• Learn statistics required for Data Science, Python programming, and Machine Learning 
• Know how to use Python libraries like NumPY, SciPy, Scikit
• Learn essential Machine Learning techniques, such as supervised and unsupervised learning
• Master advanced concepts covering artificial neural networks
• Knowledge of layers of data abstraction and TensorFlow.

Who Should Do This Course

• Anyone aspiring for a career in the field of AI and Machine Learning
• Analytics professionals,
• Software developers  
• Data Scientists.
• Information Architects
• Experienced Professionals who want to upskill

Why Should You Go For This Course

This course over 15 real-life, hands-on, branded projects in multiple domains. You will get uninterrupted guidance from the learning support team and instructors.After the certification, you can successfully design a project portfolio to showcase your expertise to the world. You can apply to the below jobs after the certification:

• Artificial Intelligence Engineer
• Data Scientist
• Analytics Manager/Lead
• Machine Learning Engineer
• Statistical Programming Specialist