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ARTIFICIAL INTELLIGENCE

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.

Course Highlights
  • 12 Weeks, 24 Sessions Program
  • 2 Major Project
  • Hybrid Learning Model
  • Certification Program
  • Internship Included
  • Job Placement Assistance
  • Hackathon with Certification
  • Online or Classroom Training options
  • Regular or Weekend Batches
Online
₹ 55,000
Offline
₹ 65,000
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WHY ARTIFICIAL INTELLIGENCE

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.

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COURSE INFORMATION

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.


Hybrid Learning for everyone

Get a personalized dashboard and watch our proprietary videos related to the topics, before attending the scheduled Online or Offline course – Knowledge to Skill

BENEFITS

  • High-end Industry-ready program
  • Project Based Approach
  • Hybrid Learning Model
  • Minimum Batch Size
  • Job Preparation with Profile building
  • Internships and projects
  • Scholarship Assessments
  • Knowledge-Skill Pedagogy

YOU WILL

  • 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.

Curriculum Impact

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
  • Variables
  • 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
  • Clustering
  • Other Algorithms
  • Introduction to Artificial Intelligence
  • Introduction to ML & DL
  • Introduction to Perceptron
  • Neural Networks
  • Artificial Neural Networks
  • Model Initialization
  • Regression
  • Classification – Binary
  • Classification – Multi-class
  • Convolutional Neural Networks
  • CNN Architecture, Activation Functions, SoftMax
  • Computer Vison Applications
  • Transfer Learning
  • Object Detection & Recognition
  • Sematic Segmentation
  • Introduction to RNN
  • RNN Architecture & Networks
  • Training & Testing RNN
  • LSTM’s
  • ntroduction to NLP & NLTK Toolkit
  • Pre-processing Unstructured Text Data
  • Bag of Words, Word2Vec
  • Application of text Classification
  • ‘Sentimental Analysis’
  • Chat Bot’
  • Deployment & Types
  • Flask & Docker
  • Deploying over Cloud

COURSE HIGHLIGHTS

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ESSENTIAL SKILL-BUILDING

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.

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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.

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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.

Frequently Asked Questions

It’s common to have queries related to the course and future career. We have summarized frequently encountered questions for your ready reference. In case you could not find answer for your specific query, please feel free to write to us.

AI is not new however, with the evolution of computational power, memory and powerful algorithms there are new opportunities to solve many real-life challenges. These opportunities are spread across all the domains, be in medical, space, marketing, education, finance and so on. Hence, almost every organization is investing heavily in AI which is creating many opportunities and these would increase over the time.

This is a certification course and post-completion of the course you would awarded with the certificate. AI-Practitioner is a role which defines a professional who used AI technology to solve problems. Post completion of the course ou would be capable to solving real-life problems hence you could turn into an AI-Practitioner.

Indeed. We have Short and Long duration Programs, Regular and Weekend Programs just to meet the dynamic needs of the working professionals. Even the learners could change the batches, as per the availability to suit their schedule.

There is no domain in the world that is currently not using AI solutions. We have Governments, Law, Healthcare, Banking, Education, Security, Pharma, and many more domains using AI to solve tough problems or increase efficiency or effectiveness. Even we use AI applications in our daily life which made it an integral part of lives.

Projects are part of our course. We encourage students to take up minimum one project to complete their program. These projects vary as per the domain interest for the learner and supported by our mentors. All are projects address problems faced by the industry hence learners try to find solution for these through their projects giving them real-time experience.

AI is subject intensive and includes programming. However, AI is based on learning but not logic. Meaning, there will be programming to read the data, train the model and so on however, not as intense as the typical logic based programming. This reduces the programming load on the AI-practitioner and focuses more on data management and model optimization to solve the problem.

Data Science is a growing field and there are numerous opportunities in almost every domain. You could be a Data Analyst, Machine Learning Engineer, Business Intelligence Expert, or a Data Scientist. There are equal opportunities for the freshers and also the experienced professionals. The trends in the job market showcase that Data Science would stay as one of top 3 careers in demand.

You need basic statistical knowledge, logical or algorithmic thinking, and inclination to learn a programming language. These are essential and rest of the skills could be built over time. Communication and writing skills would help you in creating report and when applying for jobs.

Yes. We help learners in getting themselves market ready through profile building, interview preparation, mock interviews, assessments and more. We would also recommend jobs from our IT network and partners, where the industry professionals are looking for right talent.

If you have changed your mind after enrollment for whatever the reason may be we would refund the fee deducting administration and other costs. No questions asked. However if you start attending the sessions then refund is not possible. You could reserve your seat in the future batches.