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Data Science with R | Python for Data Science
Machine Learning | Artificial Intelligence & Deep Learning with Tensorflow
Reinforcement Learning & Graphical Model
Description Given Below 410 students enrolled
Artificial Intelligence (AI) is a vast and a very fast-growing field of Computer Science. AI is a branch of computer science dealing with the simulation of intelligent behavior in computers. It can be said that the capability of a machine to imitate intelligent human behavior.
Becoming an Artificial Intelligence Engineer puts you on the path to an evolving career. Artificial intelligence and Machine Learning will impact every segment of our daily life The applications are in a wide range of industries like healthcare, transportation, insurance, transport and logistics and even customer service. The very need for AI specialists exists in just about any field as companies seek to give computers the ability to think, learn and adapt.
This course covers problem solving, heuristic search, planning, game playing, reasoning with propositional and predicate logic, reasoning under uncertainty, machine learning, applications. It provides training in the skills required for a career in AI. You will learn and master TensorFlow, Machine Learning, and other AI concepts Also about deep learning algorithms & advanced artificial neural networks which actually use predictive analytics to solve real-time decision-making problems
Participants in this course should have Understanding of the fundamentals of Python programming Basic knowledge of statistics Start to the machine learning knowledge
As part of your course, you will get your Masters Certification on AI Artificial Intelligence from Awdiz.
You will be learning NLP, Deep Learning, Reinforcement Learning and Graphical Models along with a solid foundation in Predictive Analytics and Statistics. The Job Opportunities include Business Analyst, Product Analyst, Machine Learning Engineer or a Data Scientist. Our Artificial Intelligence Training with guaranteed placement program helps students secure their job after the Artificial Intelligence Training.
All Graduates from BCA, BE, BSCIT, MCA, BTECH who are interested in Artificial Intelligence Domain are eligible for this Artificial Intelligence Training.
The course aims to offer a view of the classical/symbolic approach to Artificial Intelligence and serves as a basis for more in depth treatment of
specific theories and technologies for building complete A.I. systems integrating different approaches and methods.
• Advanced search
• Constraint satisfaction problems
• Knowledge representation and reasoning
• Non-standard logics
• Uncertain and probabilistic reasoning (Bayesian networks, fuzzy sets).
• Foundations of semantic web: semantic networks and description logics.
• Rules systems: use and efficient implementation.
• Planning systems.
• Data Science with Python
• Machine Learning
• Deep Learning with TensorFlow
• Introduction to Deep Learning
• AI Case Studies
• Capstone Project
The Entire syllabus modules will be shared in the class.