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AI is one of the best course which is making a huge impact on current work culture and creating huge amount of opportunities on AI across the globe.

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Now Artificial Intelligence been the buzz word across the industries irrespective of domains. Is learning AI course or getting in AI jobs roles is it a challenging task? Really no! but lot of things to learn to get into AI job roles: Skills like machine learning, deep learning, linear algebra, calculus, reinforcement learning, genetic algorithms, search algorithms, markov chains e.t.c. need to be mastered to get into AI job roles.

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As a professionals learning AI course may consume more amount of time. So we designed the course in such a way that while they are working they can attend AI training via on weekdays or weekends with more assignments to work for better practice and you learn entire AI for 6 Months. We are able to place nearly 8000+ people on AI from last few years. 

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ABOUT OUR COURSE:

Artificial intelligence is the main house to create automation using different techniques like Machine learning, Deep learning, Reinforcement learning, logic programming, genetic programming, Markov Chains e.t.c. 

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All this different segments in AI are offering intelligence and building automation across different industries like banking, health care, IT, telecom, insurance, manufacturing, oil and gas e.t.c.

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Artificial Intelligence Definition: Developing intelligence for computers using human intelligence to automate the process of face recognition, voice recognition, text translation, classification, decision making e.t.c. comes under Artificial Intelligence. In this AI course you would be learning about all the above techniques like Image recognition, speech recognition, text to speech and speech to text e.t.c. things using AI.

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AI Applications: Implementation of Artificial intelligence is pretty fast across different domains like cyber security, retail, oil and gas, airlines e.t.c. the common examples of AI which we can see like Self-Driving cars, face unlock, gaming, heart predictions, chatbots e.t.c. are various examples of AI

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How to start with AI? Anyone who is interested with AI Job roles can get started with AI Course like Artificial Intelligence classroom or Artificial intelligence online program. But doing self study going to more time and improper learning of concepts. In order to crack job on AI. It's better to get under mentorship. 

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Key concepts of AI: People who are planning to get into AI they need to be good at following concepts:

• Machine learning

• Deep Learning

• Reinforcement Learning

• Markov Chains and Hidden Markov Chains

• Genetic Algorithms

• Search Algorithms

• NLP

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Pre-Requisites of AI: Professionals who are planning to get into AI, below concepts are important for AI Program

• Linear Algebra

• Calculus

• Statistics and Probability

• Programming

• Partial Derivatives 

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Importance of each and every concept: In real time to create intelligence based on two dimensional data like rows and columns and which are in numerical format and structured information we deal with Machine learning in AI. To deal with unstructured info like text we deal with text mining to create intelligence related to text in AI. In order to create intelligence related to recognition of images or faces we use Deep learning. To create intelligence related to sequential tasking we use RNN in deep learning. Building intelligence which are random we use Markov's. So in order to create different types of artificial intelligence we use different techniques to build different sorts of artificial intelligence. 

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Certification

How do i earn my Machine learning - Best Practices Certification?

Pre-Requisites for Certified Machine learning Consultant - Best Practices

1. Must complete one project on Machine learning with Project documentation and Source Code

2. Need to attend 16 Hours of Best Practices on Machine learning Training from BEPEC Global

3. Need to book exam with BEPEC Global

4. Must gain 60% to get awarded with CMLD - Best Practices Certification

5. Answer sheet going to be corrected by Artificial Neural Networks

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6.Aggregated by Independent Global Certification (IGC).

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