AI Foundation

BY
DataMites

Advance in your career with enhanced knowledge of foundational AI concepts and seek better professional opportunities with AI Foundation by DataMites.

Mode

Online

Duration

2 Months

Fees

₹ 14595 22000

Quick Facts

particular details
Medium of instructions English
Mode of learning Self study, Virtual Classroom +1 more
Mode of Delivery Video and Text Based

Course overview

AI Foundation by DataMites is a beginner-level online course that can be conducive to executives, industry professionals, leaders, researchers, and students. Takeaways from the course will ensure that learners are able to contribute to their organization and its transformation potential. AI Foundation certification syllabus is specialised for managers and is delivered by Ph.D graduates and industry experts.

Students have the option to choose from three learning modes-  Live virtual, Classroom training, and Blended learning. The live virtual learning sessions are instructor-led and continue for 2 months. The blended learning programme includes self-learning and live monitoring and students can access the course for a year. The in-person classroom training is for 2 months.

The highlights

  • Cloud lab access 
  • Internship opportunities 
  • Job assistance
  • Accredited by International Association of Business Analytics Certification
  • Free library
  • Certificate of completion imparted by DataMites

Program offerings

  • Capstone project
  • Online training
  • Live training
  • Classroom session
  • E-learning
  • Videos
  • Cheat sheet
  • Blended learning
  • Study material
  • Data sets

Course and certificate fees

Fees information
₹ 14,595  ₹22,000

Fee Details for AI Foundation 

Fee

Amount in Rupees

Plans

Live Virtual

Blended Training

Classroom Training

Course Fee

Rs.22,000

Rs.13,000

Rs.22,000

certificate availability

Yes

certificate providing authority

IABAC

Who it is for

AI Foundation online course will benefit the following participants-

  • Individuals who want to start a career in AI.
  • Professionals working in machine learning jobs willing to gain additional experience.

Eligibility criteria

Education

AI Foundation Training requires course participants to be acquainted with the basics of machine learning, AI and Python programming skills.

Certification qualifying details

AI Foundation Certification will be issued to those who complete the programme successfully.

What you will learn

Knowledge of python Knowledge of artificial intelligence Knowledge of deep learning

AI Foundation Training is a holistic training programme on AI and Python which will make candidates aware of the following-

  • They will become apprised with some basic concepts of machine learning.
  • They will know about the use of advanced python in deep learning.
  • In this course, candidates will be taught the role of mathematics in deep learning.
  • They shall gain practical experience in using TensorFlow for deep learning. 
  • Foundational knowledge of deep learning will be given in this course. 
  • This course focuses on developing accuracy in the understanding of AI, its applications, and cases in different industries.
  • After completion, of course, learners will be familiar with machine learning and neural networks.

The syllabus

Introduction to artificial intelligence

  • Limitation of AI
  • Five domains of AI
  • History of artificial intelligence (AI)
  • Why AI now?

Machine learning primer

  • Machine learning primer
  • Artificial neural network
  • Understanding the objective function of ML algorithms
  • ANN in detail, forward pass and back propagation
  • Popular metrics in detail: R2 Score, RMSE, cross-entropy, precision, recall, F1 score, ROC-AUC, SGD, ADAM
  • Core difference b/w ML and DL from an implementation perspective
  • Machine learning vs deep learning
  • Objective functions and regularization
  • Metrics, evaluation methods and optimizers
  • Machine learning core concepts, scalable algorithms, project workflow

Advanced Python for Deep Learning

  • Context manager application
  • Class, inheritance and magic functions
  • Exception handling
  • Python package management
  • Context manager ‘with’ in Python
  • Special functions in Python
  • Overview, array, selecting data, slicing, iterating, array manipulations, stacking, splitting arrays, key functions
  • Python programming primer
  • Try and catch block
  • Python classes, inheritance concepts, magic functions
  • Decorators and special functions
  • Installing Python, programming basics, native data types
  • Decorators implementation with class
  • Bundling and export Python packages

TensorFlow 2.0 and Keras for deep learning

  • Building neural networks from scratch in Keras
  • Sequential models, configuring layers, loading data, train and test, complex models, callbacks, save and restore neural network weights
  • TensorFlow core concepts, tensors, core APIs
  • Polymorphic functions, concrete functions, data types, control statements, NumPy, Pandas 
  • Keras (TensorFlow 2.0 Built-in API) overview
  • Concrete functions, data types, control statements
  • tf.function autograph implementation
  • TensorFlow 2.0 basics
  • Building neural networks in Keras
  • Autograph eager execution

Mathematics for deep learning

  • Probability essentials: probability basics and notations, conditional probability, essential probability theorems for machine learning
  • Vectors, matrices, linear transformation, Eigen vectors, matrix operations, special matrices
  • Linear algebra
  • Special functions: Relu, Sigmoid, SoftMax, popular loss functions – cross-entropy, quadratic loss functions
  • Calculus – derivatives: calculus essentials, derivatives and partial derivatives, chain rule, derivatives of special functions

Deep learning foundation

  • Deep learning network concepts
  • Building simple deep learning network
  • Deep dive into activation functions
  • Tuning deep learning network 
  • Core concepts of deep learning networks

Admission details

AI Foundation Programme can be registered for in the given manner-

Step 1: You need to first place an enquiry with a counsellor on the course webpage by selecting “Enquire Now.”

Step 2: Enter your details on the form after which a career counsellor will guide you with the application.

How it helps

AI Foundation Certification Benefits include real-world projects and industrially relevant case studies that will help candidates establish a career in AI. IABAC certification will help them secure global recognition for their acquired skills and open opportunities across the world. Placement assistance will help them secure the right job.

FAQs

Does the placement assistance team guarantee a job to AI Foundation Certification Course learners?

The placement assistance team does not guarantee a job. However, candidates who learn well and prepare themselves properly will bag good opportunities.

Can the training of the AI Foundation Programme be conducted at an unlisted location?

For taking the training at a location not listed on the website, candidates need to submit a request via the “Request a training” link. They will be notified accordingly.

What kind of case studies will be dealt with in the AI Foundation Certification Course?

Case studies on decision trees, Monte Carlo simulations, and scenarios with low and high certainty will be discussed in this course.

What is the duration of classroom sessions?

Classroom sessions will be of a total of sixteen hours.

What are the exclusive benefits of live virtual training?

Candidates will get access to 365 days Flexi Pass and live online training up to twenty hours. They will also get 80 learning training in two months.

How many Capstone projects will learners be provided in this course?

Learners will get access to 5 Capstone projects.

Articles

Popular Articles

Latest Articles

Trending Courses

Popular Courses

Popular Platforms

Learn more about the Courses

Download the Careers360 App on your Android phone

Regular exam updates, QnA, Predictors, College Applications & E-books now on your Mobile

Careers360 App
150M+ Students
30,000+ Colleges
500+ Exams
1500+ E-books