Artificial Intelligence
Superior Training Methodology
ABOUT THE COURSE
Artificial intelligence (AI) deals with creation of intelligent machines that work and respond like humans. Few AI based activities include Speech Recognition. Learning. Planning. Popular AI products include Virtual assistants like Alexa, Siri, Autonomous cars and Chatbots.
AI Systems, program is specifically designed with an objective to provide a sound platform and prepare attendees for a successful career in the field of Artificial Intelligence. The course content, the advanced lab, 1:5 classroom strength allows special focus on individual performance.
QUALIFICATIONS
TRAINERS
Trainer, has deep research and development experience into AI and Machine Learning, along with a M.S in Computer Engineering (USA). He worked with top companies including Amazon, at USA and has extensive experience designing and implementing AI technologies. He managed technical teams, which delivered top class web products.
SELECTION
The course consists theory and practical classes spread over a period of about 15 weeks. The course will have about 100 contact hours and also hands-on practical lab sessions. Design project will be done in the time allotted for lab sessions. In addition, there will be guest lectures by experts from industry and academic institutions. Each course batch is limited to first 15 participants. Participants have to appear for a test of duration 30 min in Digital Design and general aptitude, Followed by Interview. The batch size is kept to minimum, this enables us to focus more on each student so, that we help them understand the concepts in depth.
| Batches | Fees |
|---|---|
| April-July | 37,000 INR(or) 560USD |
| Aug-Nov | |
| Jan-Mar |
INTERNSHIP
Artificial Intelligence internships are designed for final year electronics / electrical engineering students of B.Tech/M.Tech/Phd (INDIA) and M.S/Phd (USA) and it starts with learning of concepts on AI, Deep Learning, CMOS, Verilog HDL and Code Coverage which will be highly required to start an industry standard project. Doing this internship will make you a hands-on Artificial Intelligence Expert.
RESEARCH
KEY FEATURES
1. 24×7 Support on exercises.
2. Case studies
3. 4.7/5 rating
4. Industry standard tools
5. Two decade of experience
6. World class course structure
7. Expert mentorship on Artificial Intelligence career
8. 100% Placement Support
9. Lifelong membership
1. Scholarship will be provided based on online test and technical interview performance.
2. Candidates with score 80% in Engineering and 90% above in online test will be selected.
3. Candidates with good GATE score can avail additional scholarship.T&C Apply
COURSE CURRICULUM
Artificial intelligence (AI) is the ability of a computer program or a machine to think and learn. It is also a field of study which tries to make computers “smart”
Artificial Neural Networks
Neural Networks & terminologies
Non linearity problem, illustration
Perceptron learning
Feed Forward Network and Back propagation
Gradient Descent
Mathematics of Artificial Neural Networks
Gradients
Partial derivatives
Linear algebra
Li
LD
Eigen vectors
Projections
Vector quantization
Overview of tools used in Neural Networks
Tensor Flow
Keras
Deep learning is part of a broader family of machine learning methods based on the layers used in artificial neural networks. In this module, you’ll deep dive in the concepts of Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks, Auto Encoders and many more.
Deep Learning
Tensorflow & keras installation
More elaborate discussion on cost function
Measuring accuracy of hypothesis function
Role of gradient function in minimizing cost function
Explicit discussion of Bayes models
Hidden Markov Models (HMM)
Optimization basics
Sales Prediction of a Gaming company using Neural Networks
Build an Image similarity engine.
Deep Learning with Convolutional Neural Nets
Architecture of CNN
Types of layers in CNN
Different Filters and Kernels
Building an Image classifier with and without CNN
Recurrent neural nets
Fundamental notions & ideas
Recurrent neurons
Handling variable length sequences
Training a sequence classifier
Training to predict Time series
Frequently Asked Questions
Most frequent questions and answers
Can I get a job into Artificial Intelligence Industry, as I am fresh college graduate?
Yes, industry is hiring trained fresh college graduates for entry level jobs. Many of our students have got placed in top product and services companies. Along, startups are relying on new college grads for fresh ideas and out of box thinking.
Do you have a free demo session, to get a feel of the trainer and understand my choice of field better, before payment?
Yes. You are always welcome! Send us a query or call us. We will arrange a 1 to 1 meeting with the trainer and counselor. They explain you course content, job opportunities and prerequisites.
Can I get an internship, after the coursework? What do I need to ensure?
We are connected with companies focused on IT, Analytics, IoT, VLSI and Embedded. After every training session, we send our candidate profiles to these companies based on their interest. Companies interview and select the candidates of their choice. However, we try our level best to get you an entry into your dream job.
I am not from electronics, neither do I have a engineering degree. Can I join?
At industry, degree is no constrain, but Skill is. At design nation, qualification is not prerequisite, but passion is. If you are passionate to shine in the area of interest, come and talk to us. We are here to help you!
Do you provide a certificate after completion of the course?
Yes. We provide a certificate after the course completion. You can add it to LinkedIn profile, resume and mention during the interviews. Companies prefer trained resources than untrained candidates.
Can I avail the scholarship at Design Nation?
Yes, our scholarships are for people like you, with great talent and financial needs. We are more than happy to help you, with the process. Please check the cutoffs for scholarships in above section. We helped many, and still counting!!
