ABOUT THE PROGRAM
The course covers the following topics:
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Intro to ML and CRISP-DM
- Definition of learning systems
- Goals of machine Learning
- Aspects of developing learning systems
- CrispDM Model overview
AI/ML frameworks using python
- SciPy basics
- NumPy basics
- MatplotLib basics
- TensorFlow basics
- Choosing the right framework for your project
Data Engineering
- Data ingestion techniques
- Data transformation techniques
Data Analysis
- Data Sanitizing
- Feature engineering
- Data visualization
Data modelling for ML
- Selecting the right model
- Training models
- Model optimization
- Evaluate the model
ML Implementation and operations
- Build ML solutions for performance, availability, scalability and fault tolerance
- Selecting the appropriate service got the problem
- Security practices for ML
- Deploying the solution
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ABOUT CYBERPRO
About CYBERPRO was founded in cooperation with international information security and instruction authorities who bring to Israel world-leading cyber training technologies and a learning experience of the highest standard available today.
The partners include the IITC group which has been training graduates for the high tech industry for over 20 years, and was selected as the training center for the Cisco Company in Israel.
CYBERPRO’s advanced, sought-after training courses in the areas of infrastructures, information security and cyber are world famous. These training courses were developed by some of the best cyber experts in the world, for international security organizations that emphasize the high training capabilities, the professional learning methods and the unique training and practice technologies. Our connection with international groups allows our students to be exposed to unique employment opportunities in Israel and abroad.
The training and learning tracks are all based much hands-on practice and preparation for the industry and profession requirements, so they include technological labs and practice sessions using one of the most advanced simulators in the world.
COURSE INFO
Target audience
- Experienced Python developers
- Experienced AI and ML architects
Prerequisites
- 2+ years of Python programming experience
Skills Gained
- Knowing Crisp-SM
- Understanding AI/ML frameworks
- Data ingestion and transformation techniques
- Building AI/ML solutions using AWS tools and services
- AI/ML data modeling