DEEP LEARNING MODELS IMITATE HUMAN INTELLIGENCE TO SOLVE THE UNSOLVABLE
Artificial Intelligence is not the exaggerated robots in movies. It is the science of programming to mimic human cognition for betterment. AI is the engineering of intelligent machines so that they are able to interpret external data, learn from it, and use the learning to achieve specific goals or solve real-life problems.
Artificial intelligence (AI) is a concept that enables machines to learn from experience, adjust to new inputs and perform human-like tasks. AI is highly dependent on deep learning, CV and natural language processing. Using these technologies, computers can be trained to accomplish specific tasks by processing bulk sizes of data and recognizing patterns in them. Studying AI can be useful for becoming a software engineer. It is also necessary in case you want to work with human-machine interfaces, neural networks, and quantum artificial intelligence.
There are numerous applications related to AI in our real life. Facial recognition, recommendation engines, medical diagnostic are some of the widely used deep learning applications. Learn Artificial Intelligence as it has opened doors for various opportunities which were thought to be impossible in the past. This encouraged organizations to invest heavily into Artificial Intelligence and it is not exaggerating to say that there is no major organization in the world that is not using AI applications to better their services or maximise their reach. Learning Artificial Intelligence would improve your chances of jobs and eventually build a wonderful career.
The Artificial Intelligence course deals with various deep learning concepts such as ANN, CNN, and RNN which has direct applications in real time. This job-readiness course prepares students with practical knowledge so that they would solve real-time problems using the techniques they have learned as part of the course. Post completion of the course learners could independently work on building Deep Learning. You would be offered a chance to secure an internship with relevant industries and participate in our hackathons.
High-end Industry-ready program
Project Based Approach
Hybrid Learning Model
Minimum Batch Size
Job Preparation with Profile building
Internships and projects
Get Dashboard with Hybrid Learning – Watch Videos before Online or Offline classes.
Learn neural networks and build various deep learning models.
Learn and use ANN, CNN, and RNN models.
Solve real-time social and business problems using deep learning models.
Participate in hackathons and boot camps to improve your skills.
Learn the deployment techniques and cloud computing to deploy your models for general public use.
Skills are what we promise – Acquire essential skills right from the preparatory course to interview readiness. Our pedagogy encourages and prepares you for real-life situations. Find the right balance between knowledge and skills through practice.
This practical course intends to impart skills in the learners at the pace they prefer until they transform into full-fledged AI practitioners. Learn Artificial Intelligence course with confidence as it is led by professionals from the industry. The curriculum supports the step-by-step transformation while building confidence to handle various business domain problems.
Introduction & IDEs
Basic & Advance Modules
Libraries for ML
Coding with Python
Types of Data Visualization
Techniques of Data Visualization
Dashboarding for Insights
Tools for Visualization
Machine Learning Concepts
5-Stage of Machine Learning
Training, Testing & Optimization
Introduction to Supervised & Unsupervised
Regression & Classifications
Introduction to Artificial Intelligence
Introduction to ML & DL
Introduction to Perceptron
Artificial Neural Networks
Classification – Binary
Classification – Multi-class
Convolutional Neural Networks
CNN Architecture, Activation Functions, SoftMax
Computer Vision Applications
Object Detection & Recognition
Introduction to RNN
RNN Architecture & Networks
Training & Testing RNN
Introduction to NLP & NLTK Toolkit
Pre-processing Unstructured Text Data
Bag of Words, Word2Vec
Application of Text Classification
Deployment & Types
Flask & Docker
Deploying over Cloud
Schedule a demo
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JOBS FOR A AI PRACTITIONER
Being an AI-Practioner is a coveted job where the individual deal with solving business problems using Data, Computer Vision, and Natural Language Processing methods. With the advent of pre-trained or transfer learning almost every technical organization is trying to incorporate AI solutions as part of their products or services. This increased the demand for this course and looks promising for the next decade. However, this field demands a lot of experience and versatility to develop the right solutions.
SCHOLARSHIPS & DISCOUNTS
We believe in encouraging talented learners with Scholarships to avoid the learning hurdles due to financial limitations. However scholarships must be awarded based on the merit and hence our assessments. We would be glad to assess learners using our multi-dimensional assessment to identify the dormant potential and thus encourage them through the learning process by offering financial benefits. To know more you could contact us or register for the online assessment. If you are not clear on the career path in the field of AI, please feel free to meet our career counsellor. We would be glad to guide you through the career options to draft a personalized career path.