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• History of Artificial Intelligence (AI)
• Five domains of AI
• Why AI now?
• Limitation of AI
Machine Learning Primer
Machine Learning core concepts, scalable algorithms, project workflow.
Objective Functions and Regularization
Understanding the Objective Function of ML Algorithms
Metrics, Evaluation Methods and Optimizers
Popular Metrics in Detail: R2 Score, RMSE, Cross-Entropy, Precision, Recall, F1 Score, ROC-AUC, SGD, ADAM
Artificial Neural Network
ANN in detail, Forward Pass and Back Propagation
Machine Learning Vs Deep Learning
Core difference b/w ML and DL from an implementation perspective
Python Programming Primer
Installing Python, Programming Basics, Native Data types
Class, Inheritance and Magic Functions
Python Classes, Inheritance Concepts, Magic Functions
Special Functions in Python
Overview, Array, selecting data, Slicing, Iterating, Array Manipulations, Stacking, Splitting arrays, Key Functions
Decorators and Special Functions
Decorators implementation with class
Context Manager ‘with’ in Python
Context Manager Application
Exception Handling
Try and Catch block
Python Package Management
Bundling and export python packages
TensorFlow 2.0 Basics
TensorFlow core concepts, Tensors, core APIs
Concrete Functions, Data Types, Control Statements
Polymorphic Functions, Concrete Functions, Datatypes, Control Statements, NumPy, Pandas
Autograph eager execution
tf.function autograph implementation
Keras (TensorFlow 2.0 Built-in API) Overview
Sequential Models, configuring layers, loading data, train and test, complex models, callbacks, save and restore Neural Network weights
Building Neural Networks in Keras
Building Neural networks from scratch in Keras
Linear Algebra
Vectors, Matrices, Linear Transformation, Eigen Vectors, Matrix Operations, Special Matrices
Calculus – Derivatives: Calculus essentials, Derivatives and Partial Derivatives, Chain Rule, Derivatives of special functions
Probability Essentials: Probability basics and notations, Conditional probability, Essential Probability theorems for Machine Learning
Special functions: Relu, Sigmoid, SoftMax, Popular Loss Functions – Cross-Entropy, Quadratic Loss Functions
Deep Learning Network Concepts
Core concepts of Deep Learning Networks
Deep Dive into Activation Functions
Building simple Deep Learning Network
Tuning Deep Learning Network
"The Data Science training offered at DataMites are structures. The concepts were explained with lots of clarity. The topics were taught with the help of case studies. With a team of knowledgeable faculty of trainers. Ashok Sir is a good mentor. I thank the DataMites team for supporting me in the learning process."
"I always wanted to explore the field of Data Science, Artificial Intelligence and Machine Learning. DataMites has helped me in doing so. The best part was method of training and upskilling they adopted. Many complicated topics were explained in detail, along with examples. There were seperate doubt clearing sessions, and the trainers were supportive."
"If you are looking for an institute for Data Science and Machine Learning training, you will not find a better one than DataMites. With the mentoring of Ashok Sir and team, I had the best experience in learning Data Science. The way concepts are taught to us, leavaes us thinking, as to how can such a colossal subject be broken down into simple parts. "
"My experience in DataMites was excellent. With knowledgeable trainers around to mentor you, it is nothing short of becoming a great learning experience. The training programs are well structured, along with an awesome classroom environment. DataMites has everything that you expect from a training institute. I recommend DataMites. "
Artificial Intelligence is the new science of the century. The characteristic features governing the human mind, being evident in machines, is an unprecedented possibility and has equally contributed to churning out new opportunities on a career front.
The Certified Artificial Intelligence Expert course mainly focuses on employing the knowledge of artificial intelligence into the organizational functions.
The AI foundation course ensures that an individual is well equipped in the following areas:-
Machine Learning Primer
Advanced Python For Deep Learning
Mathematics For Deep Learning
Tensorflow For Deep Learning
Deep Learning Foundation
Basic knowledge of AI and Machine Learning.
Knowledge and skill on Python programming.
Individuals who aspire to enter the field of AI.
Professionals who work in the Machine Learning job roles.
DataMites™ is an authorized institute by the International Association of Business Analytics Certifications (IABAC™) providing global data science certification courses
DataMites™ is founded by Data Science/Analytics Experts, who had deep roots in the industry in the USA and Europe for decades.
You benefit from course syllabus of DataMites™ as designed inline with job requirement in the current market
You can choose from flexible learning options: Traditional classroom, Live Virtual classroom and Self-learning.
DataMites™ has a dedicated Placement Assistance Team (PAT), which assists you to find the right data science job
If you are a worthy candidate, you can get an opportunity to work in global data science consulting projects
DataMites™ provides flexible learning options from traditional classroom training, the latest virtual live classroom to distance course. Based on your location preference, you may have one or more learning options
This course is perfectly aligned to the current industry requirements and gives exposure to all the latest techniques and tools. The course curriculum is designed by specialists in this field and monitored and improved by industry practitioners on a continual basis.
All certificates can be validated with your unique certification number at IABAC.org portal. You also get candidate login at exam.iabac.org, where you can find your test results and other relevant validation details.
The results of the Exam are immediate if you take an online test at exam.iabac.org portal. The certificate issuance, as per IABAC™ terms, takes about 7-10 business days for e-certificate.
No, the exam fees are already included in the course fee and you will not be charged extra.
Course fee needs to be paid in one payment as it is required to block your seat for the entire course as well as book the certification exams with IABAC™. In case, if you have any specific constraints, your relation manager at DataMites™ shall assist you with part payment agreements
DataMites™ has a dedicated Placement Assistance Team(PAT), who work with candidates on an individual basis in assisting for the right Data Science job.
You get a 100% refund training fee if the training is not to your satisfaction but the exam fee will not be refunded as we pay to accreditation bodies. If the refund is due to your availability concerns, you may need to talk to the relationship manager and will be sorted out on case to case basis
DataMites™ provides loads of study materials, cheat sheets, data sets, videos so that you can learn and practice extensively. Along with study materials, you will get materials on job interviews, new letters with the latest information on Data Science as well as job updates.
The DataMites Placement Assistance Team(PAT) facilitates the aspirants in taking all the necessary steps in starting their career in Data Science. Some of the services provided by PAT are: -
The DataMites Placement Assistance Team(PAT) conducts sessions on career mentoring for the aspirants with a view of helping them realize the purpose they have to serve when they step into the corporate world. The students are guided by industry experts about the various possibilities in the Data Science career, this will help the aspirants to draw a clear picture of the career options available. Also, they will be made knowledgeable about the various obstacles they are likely to face as a fresher in the field, and how they can tackle.
No, PAT does not promise a job, but it helps the aspirants to build the required potential needed in landing a career. The aspirants can capitalize on the acquired skills, in the long run, to a successful career in Data Science.
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