50+ Internship Partners
2 Live Projects
Live Mentorship length
Introduction to Artificial Intelligence
This section contains the overview of the sections and various components of AI. This will give you an overview of all the domains that fall under AI. This means that you will understand the applications of various domains and understand various jargons associated with the field.
Toolkits for Machine Learning
Since you cannot learn AI without having a strong command over the toolkits associated with the course, you will need to master this set of toolkits. This section covers in-depth functioning and use of various functions of these toolkits through practical implementation.
Machine Learning algorithms
Once you have mastered the toolkits, there are in-depth algorithms and intutions that need to be worked upon.
Neural Networks and Deep Learning
The most advanced and cutting edge domain of AI is Deep learning, which is also called the Neural Network. These Neural networks are inspired by the actual human brain and its connections. This section covers all the required concepts, math and algorithms used in Neural Networks to help you get an intutive understanding of the components.
Solving real AI problems through programming
This section is a complete coding section that contains the codes of some simple AI problems. This section can only be covered if you have understood all the previous sections of the course
About the course
Learn the fundamentals of Artificial Intelligence & design intelligent agents to solve real world problems including games, machine learning & constraint satisfaction problems.
Artificial Intelligence Engineering is an evolving career that is predicted to grow sharply into 2025 and beyond. Artificial intelligence and Machine Learning will have applications in a wide range of industries such as healthcare, insurance, transport and logistics and even customer service. The need for AI specialists exists in just about every field as companies seek to give computers the ability to think, learn and adapt. The current and future demand is staggering. The New York Times reports a candidate shortage for certified AI Engineers, with fewer than 100,000 qualified people in the world to fill these jobs, which according to Paysa earn an average salary of Rs.17 lakhs to Rs. 25 lakhs in India for engineers with the required skills. If you are excited about all these, then this is the right choice for you. This course explains to you, the bricks and bones of Artificial Intelligence, proceed to implementation on Machine Learning and then touch upon Deep learning. We are going to learn to build our first Machine Learning program with some fundamental mathematics involved behind this course. You will be introduced to Tensorflow and Keras to help you build your first project of teaching a computer to understand and comprehend hand-written numbers. Anyone who is interested in Artificial Intelligence, Deep Learning, or Machine Learning should definitely take up this course.
Learners from this course got placed in
Microsoft, Amazon & 150+ Companies
Job & Internship titles include
Robotics Scientist, Data Scientist, Machine Learning Engineer, Business Intelligence Developer, AI Research Scientist
This program will enable you to
Learn The Basics Of ML, Deep Learning And AI
Learn Neural Networks Understanding And Programming
Understand Advanced Programming Frameworks
Learn Machine Learning Algorithms
Have A Complete Toolkit To Build AI Programs
2 Project Kit
Live projects provided by companies
Internships accelerate your career
Certification of Program
Recognized by 10,000+ companies
Live Mentor Sessions
Not ordinary sessions, talk to our mentors
Lifetime Recorded Course
Flexibility of learning anywhere, anytime
Live Mentor Sessions
Not just recorded sessions, our industry experts conduct 1:1 sessions to guide you as a guru
Expert Guided Projects
Our panel experts guide you to complete the projects with full effectiveness
All platforms "Help", we "Assure" you internships in our partner companies.
About the Mentor
Data Scientist at Genietalk.ai
Tushar Dhyani is a self-learnt Machine Learning engineer with a strong background in Competitive Coding. He is an ardent researcher and has done extensive work on Statistical Learning and Computer Vision. He has also published research papers on the same. He has taken part in various student and professional level tech competitions and has successfully managed to perform in the capacity of a winner and qualifier in all of them.
Live Mentorship + Recorded Sessions
The mentor conducts online sessions along with the recorded sessions help to cover the basics before you interact
Lifetime access to the mentor
They make sure that you get the best guidance, curated based on your goals & aspirations
What they have to say about us
20,000+ students from top colleges and companies have taken this program and transformed their professional career journey
You will be certified for this course once you submit your mini & mega project.
Accredited & Official
A program course completion certificate indicating performance with mentor signature & institute logo
Validated by 500+ Companies
All our internship partner companies prefer the students through MentorBoxx programs
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