Brochure
Enquire- Limitation of AI
- Five domains of AI
- History of artificial intelligence (AI)
- Why AI now?
AI Foundation
BY
DataMites
Advance in your career with enhanced knowledge of foundational AI concepts and seek better professional opportunities ...Read more
Online
2 Months
₹ 13900 22000
Quick Facts
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Medium of instructions
English
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Mode of learning
Self study, Virtual Classroom
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Mode of Delivery
Video and Text Based
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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
₹ 13,900 ₹22,000
Fee Details for AI Foundation
| Mode of learning | Total Fee | Discounted Fee |
| Live Virtual | Rs. 22,000 | Rs. 13,900 |
| Blended Learning | Rs. 13,000 | Rs. 7,900 |
| In-Person Classroom | Rs. 22,000 | Rs. 15,900 |
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
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 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.
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