Artificial Intelligence Engineer

This Artificial Intelligence course offers training in the required skills for a career in AI. Participants will expertise Machine Learning, TensorFlow, and other AI concepts, plus the programming languages needed to design intelligent agents, deep learning algorithms and advanced artificial neural networks that uses predictive analytics to solve real-time decision-making problems.

About the program
What are the learning goals of this AI Course?

To be an Artificial Intelligence Engineer, participants will be placed in the path of an inspiring and improving career that will improve gradually to increase by 2025 and beyond. AI and Machine Learning will create effective knowledge on all segments of daily life by 2025, through applications globally in all industries like; health-care, transportation, insurance, transport and logistics and also customer service. The necessity for AI specialists used in every field as companies provide computers the capability to think, learn and transform.

Why become an AI engineer?

The on-going and future requirement is growing. The New York Times reports indicates certified AI Engineers are necessary and more than 10,000 qualified people all around in the world to complete ready to fill these jobs, which according to Paysa earn a minimum salary of $172,000 per year in the U.S. for engineers with the necessary skills.

What skills will you learn?

At the end of this AI Course, participants are capable to accomplish the following:

  • Develop and build their own intelligent agents and implement them to create real-time AI projects containing games, machine learning models, logic constraint satisfaction problems, probabilistic models, knowledge-related systems, agent decision-making functions and more.
  • Apprehend the concepts of TensorFlow, its main features, operations and the applying pipeline.
  • Apprehend and master the concepts and principles of machine learning, that focus on mathematical and heuristic aspects.
  • Apply deep learning algorithms in TensorFlow and analyze the results.
  • Apprehend neural networks and multi-layer data abstraction, enhancing participants to analyze and use data like never before
  • Understand and distinguish between theoretical concepts and real-time aspects of machine learning.
  • Expertise and understand advanced topics like; convolutional neural networks, recurrent neural networks, training deep networks and high-level interfaces.
  • Gain knowledge on vital applications of AI around different use cases in plenty of fields like customer and financial services, health-care etc.
  • Apply traditional AI techniques, like; search and minimax algorithms, neural networks, tracking, robot localization.
  • Capability to implement AI techniques for solving problem and describe the challenges of on-going AI techniques.
  • Formalize a mentioned problem in the language and framework of various Artificial Intelligence methods.
  • Expertise in skills and tools applied by the creative AI teams around the world as they looking for specializations, and earn proficiency in solving real-world challenges
Learning path
Data Science with Python

This Data Science with Python course will make participants to master the data science and analytics techniques using Python. Participants will improve the vital concepts of Python language and be an proficient in data analytics and visualization, machine learning, web scraping and natural language processing. Python is necessary skill for the data science positions, suggested to participants build their career with this proactive and experiential course.

Machine Learning

4CLearn’s Machine Learning course will make participants proficient in machine learning, this is a part of AI that deals with data analysis to allow computers to improve and transform using expertise to perform particular tasks without any other programming. Participants will expertise in machine learning concepts and techniques and also supervised and unsupervised learning, mathematical and heuristic aspects, and experiential modeling to design algorithms and make participants ready for the role of Machine Learning Engineer.

Deep Learning with TensorFlow

This Deep Learning course will make participants into an expert in deep learning techniques through TensorFlow, the open-source software library structured to perform machine learning and deep neural network research. Through deep learning course, participants will expertise in deep learning and TensorFlow concepts, gain knowledge to apply algorithms, design artificial neural networks and traverse layers of data abstraction to apprehend the power of data and make participants ready for their new role as deep learning scientist.


What are the mandatory requirements for this Artificial Intelligence course?

Participants in this course should consists:

  • Knowledge of the fundamentals of Python programming
  • Fundamental knowledge of statistics
  • Fundamental machine learning knowledge
Who should take this Artificial Intelligence course?

The necessity for AI has increased in the industries, 4CLearn’s AI course is suitable for a various of roles and disciplines, involving:

  • Interested developers seeking to be a 'Artificial Intelligence Scientist' or Machine Learning engineers
  • Analytics Managers who are leading a team of analysts
  • Information Architects desired to earn experience in Artificial Intelligence algorithms
  • Analytics professionals desired to work in machine learning or artificial intelligence
  • Graduates seeking to develop a career in Artificial Intelligence and machine learning
  • Expertized professionals who would like to utilize AI in their fields to gain more insight
Who are our trainers and how they get selected?

Our trainers are qualified industry experts with many years of practical industry experience. Every trainer should cross the profile screening, technical evaluation, and a training demo barriers to get selected and initiate their work. We assure our trainers are high alumni rated.