08182881234
08182881234
Unlock the world of Machine Learning and seize unparalleled career opportunities with our comprehensive course. Machine Learning (ML) is at the forefront of technological innovation, transforming industries and driving future growth. Whether you’re a seasoned programmer or just starting your tech journey, this course will equip you with the knowledge and practical skills needed to excel in the field of Machine Learning.
Security Assessment With Analysis Report
We are the first to introduce this training method in the industry! Prior to the training, our security engineers will conduct a security assessment and provide a security analysis report on your digital asset.
Understanding Your Digital Asset
You will get a clear understanding on the security and the hidden risks of your digital asset.
Hands-on Session
You will learn and improve your technical skills to test and secure your digital assets.
Solution-Driven
You will have the opportunity to focus and get professional consultation from trainer based on the challenges you face in the security analysis report on your digital asset.
Live Hacking and Penetration Testing Session
You will practise and sharpen your skills by applying it in live platform.
Skills Application
You will be able to understand and fix the vulnerabilities of your digital asset listed in the security analysis report.
Master Information Security
You will be able to master advanced techniques to perform vulnerability assessment and identify the weaknesses of your digital assets.
Please fill up the form to sign up and get a call back from our sales representatives.
Module 1: Mathematics and Statistics
Module 2: Programming Skills
Module 3: Data Preprocessing
Module 4: Machine Learning Fundamentals
Module 5: Deep Learning
Module 6:Natural Language Processing (NLP)
Module 7: Model Deployment
• Have a good understanding of the fundamental issues and challenges of machine learning: data, model selection, model complexity, etc.
• Have an understanding of the strengths and weaknesses of many popular machine learning approaches.
• Appreciate the underlying mathematical relationships within and across Machine Learning algorithms and the paradigms of supervised and un-supervised learning.
• Be able to design and implement various machine learning algorithms in a range of real-world applications.
Number of Questions: 1 ML Scenario
Passing score: 70%
Test Duration: 85 mins Exam + 5 mins NDA
Test Format: Hands On Lab
Test Delivery: Hands On Coding
Exam Prefix: MLS-C01
• Machine Learning Engineer
• Data Scientist
• NLP Scientist
• Software Developer/Engineer (AI/ML)
• Human-Centred Machine Learning Designer
• And Anyone Who Requires Effective Interest to Learn Machine Learing Skills
60 Days
Please fill up the form to sign up and get a call back from our sales representatives.