Training program

 

IoT

AI

Entrepreneurship

Sr No Topic Details Sr No Topic Details Sr No Topic Details
1
Mindset Training
1 : S/w tools : Git training , digital documentation, OS installation
1
Mindset Training
1 : S/w tools : Git training , digital documentation, OS installation
1
Mindset Training
1. S/w tools : Git training , digital documentation
2 : Mindset mapping : Complex thinking , Logical thinking, Learning fast(20hr format), MIT product innovation framework,Newer methods of teaching and colloboration 2 : Mindset mapping : Complex thinking , Logical thinking, Learning fast(20hr format), MIT product innovation framework,Newer methods of teaching and colloboration 2. Mindset mapping : MIT product innovation framework,Entreperenuerial mindset training
2
Basics of IoT
1 : C programming upgrade
2
Basics of AI
1 : Python for AI
2
Understanding Entrepreneurship
1 : Basic qualities in an entrepreneur
2 : Embedded C 2 : Numpy and Pandas 2 : Startup ideationa dn validation
3 : Kernel Style coding 3 : Machine Learning and DNN basics 3 : Understanding the lean startup method
4 : Coding standards compliant code (Misra C) 4 : Introduction to Computer Vision and NLP 4 : Jugaad and Creativity in Entrepreneurship
5 : Understanding Real world Embedded C code 5 : Leadership in Entrepreneurship
3

Embedded Linux

1 : Embedded Linux Primer (Bootloader, Kernel,RFS)
3

Insightful Engineer

(This modules aligns

the learner with

currently what

solutions are

available in the

industry )

Study latest research papers around any AI -CNN application (e.g Face recognition, Pose detection ,Ocr )
3

Exploring the Startup world

Understand what goes behind building a startup :-
2 : Device driver writing (Camera)
– Brief study of available deep learning methods (latest research papers)
– Deep study of top 3 methods
– Comparative study of those 3 methods based on defined parameters.
– Choose a Problem statement
– Implement any one method and try training and tuning for to achieve problem statement goals
1 : Vision and Validation
3 : Yocto 2 : Customer Development
4 : Buildroot 3 : Branding and Design
5 : Router OS (Openwrt) 4 : Product Development Stages
4

Camera

Image Processing :-
4

Deep Tech

1 : CNN basics 5 : Legal and IP
– Accessing pixels in OpenCV 2 : Understand each CNN layer in depth 6 : Go to market strategies
– Splitting color channels 3 : Building CNN architecture
4

Build an innovative product startup

1 : Product Design and Development Course
– Color maps 4 : Visualizing each part of CNN 2 : Market study of existing products
– Color spaces 5 : Stanford Computer Vision Course 3 : Analysing skills required to develop the product
– Image manipulation
– Pixel change
– Grey scale conversion
– RGB decomposition
– HSV decomposition
6 : Library tuning 4 : Forming a team to build the product
– Scaling 7 : Hyperparameter tuning
– Cropping 8 : Training Model
– Image filtering 9 : Testing Model
– Convolutions and cross-correlations
5

AI Product Innovations

1 : Market study of existing products
– Histograms 2 : Forming a team to build the product
– Linear filters
– Convolution
– Co-relation
Segmentation
– Thresholding
– Contours detection
– Contrours extraction
– Countours arithmetic
Feature Detection
– Edge detection
– Detecting corners, detecting features
– Canny edge detector
Motion and Tracking
– Tracking in video
– Optical Flow
– Tracking using Optical flow
5

IoT Product Innovations

1 : Market study of existing products
2 : Forming a team to build the product

 

©[2018]  No content is copyrighted ,use freely.IoTIoT.in is part of Nikhil Bhaskaran Foundation

Log in with your credentials

Forgot your details?