- Introduction To Artificial Intelligence (AI)
- AI Data Strategy
- AI Ethics
- Issues And Concerns
- AI Challenges
- Use Cases And Adoption
Online
8 Months
₹ 42,948 69,000
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
The Artificial Intelligence Engineer Course certification course is an advanced-level programme offered by DataMites. Overall, the course includes 120+ hours of live sessions and lectures along with the internship with live AI projects that a candidate can do after attaining the Artificial Intelligence Engineer Course certification. The candidate will get access to all programme offerings after enrolling in the course.
They can access this material for the next 1-year post completion of Artificial Intelligence Engineer Course training. The course is of the comprehensive level that will be taught according to the industry requirement. The structure of the Artificial Intelligence Engineer Course certification syllabus will go under the industrial support and requirement only. To make it easy for candidates, the programme is available in three different modes namely, Blended learning, Classroom training and Live virtual.
The highlights
- Three different modes of learning
- Live virtual training
- Blended learning
- Classroom training
- Capstone project
- Cloud lab access
- Accreditation by IABAC
- Course offered by DataMites
Program offerings
- Reading material
- Live sessions
- Live lectures
- Mentorship
- Live projects
- Blended
- Classroom
- Capstone project
- Cloud lab
- Internship
- Videos
- Data sets
- Cheat sheets
- Study material
- Newsletters
Course and certificate fees
Fees information
- There are different options available for the Artificial Intelligence Engineer Course fees according to the package training and schedule the candidate is choosing.
Artificial Intelligence Engineer Course fees
Particulars | Amount in INR |
Virtual Live session | Rs.79,848 |
Blended learning (Self-learning + Live) | Rs.42,948 |
Classroom in person | Rs.85,998 |
certificate availability
certificate providing authority
Eligibility criteria
Work experience
No work experience is asked to mention while enrolling on the Artificial Intelligence Engineer Course by DataMites.
Education
As an educational prerequisite, the candidate needs to have basic knowledge of statistical tools and techniques, and a basic programming language such as Python to enroll in the Artificial Intelligence Engineer Course certification course.
Certification qualifying details
The candidate will get the Artificial Intelligence Engineer Course certification once after completing the course.
What you will learn
After the completion of the Artificial Intelligence Engineer Course programme, the candidate will learn the following skills and elements -
- The course begins with the fundamentals that an artificial intelligence field requires.
- The candidate will learn the elements of machine learning that are essential for the process.
- Enrolled students were easily able to implement the core learning algorithms.
- The complete training will be provided for the learning of natural language processing.
- Reinforcement skills must help the candidate in making their development better.
- The course will give a better understanding of the statistics for data science, deep learning, and machine learning.
Who it is for
Following candidates can apply in the Artificial Intelligence Engineer Course programme -
- Team leaders
- Senior analysts
- The ones who are freshers or graduates and want to make a career in artificial intelligence should opt for the course.
- Analytics professionals willing to switch to AI
Admission details
Follow the steps to enroll in the Artificial Intelligence Engineer Course online course -
Step 1: Visit the official site of the course.
Step 2: Tap on the option of “enquire now” of the particular plan with which the candidate is going.
Step 3: After clearing the query, make the payment for the same, the candidate can make the payment through any of the options - a debit or credit card.
Step 4: Afterward the candidate will receive the receipt of the payment on their registered mail.
Step 5: The registration is successfully done.
The syllabus
Artificial Intelligence Foundation
Machine Learning
- Data Science And ML Introduction
- Mathematics For ML
- Learning Methods
- Popular ML Algorithms
- Building Classification Models
- Building Regression Models
- Beyond Machine Learning
Tensorflow 2.X Platform
- Tensorflow Introduction
- Tensorflow Basic Concepts
- Installation And Basic Operations In Tf 2.X,Tf 2.0 Eager
- Mode, Tensorflow 2.X - Keras
Core Learning Algorithms
- Core Learning Algorithms Introduction
- Regression With Tensorflow
- Classification With Tensorflow
Neural Networks
- Structure Of Neural Networks,
- Neural Network - Core Concepts
- Feed Forward Algorithm
- Backpropagation
- Building Neural Network From Scratch Using Numpy
Implementing Deep Neural Networks
- Introduction To Neural Networks With Tf2.X
- Simple Deep Learning Model In Keras (Tf2.X)
- Building Neural Network Model In Tf 2.0 For Mnist Dataset
Deep Computer Vision - Convolutional Neural Networks
- Convolutional Neural Networks (Cnns) Introduction
- Cnns With Keras
- Transfer Learning In Cnn
- Style Transfer, Flowers Dataset With Tf2.X
- Examining X-Ray With Cnn Model
Recurrent Neural Network
- Rnn Introduction
- Sequences With Rnns
- Long Short-Term Memory Networks (Lstm Rnns) And Gru
- Examples Of Rnn Applications
Natural Language Processing
- Natural Language Processing Introduction,
- NLP With Rnns
- Creating Model
- Transformers And Bert
- State Of Art Nlp And Projects
Reinforcement Learning
- Markov Decision Process
- Fundamental Equations In R,
- Model Based Method
- Dynamic Programming Model Free Methods
Deep Reinforcement Learning
- Architectures Of Deep Q Learning
- Deep Q Learning
- Policy Gradient Methods
Generative Adversarial Network (Gan)
- Gan Introduction
- Core Concepts Of Gan
- Building Gan Model With Tensorflow 2.X
- Gan Applications
Deploying Deep Learning Models In The Cloud (Aws)
- Deploying deep learning models using Aws Sagemaker
- Amazon web services (Aws)
How it helps
The core Artificial Intelligence Engineer Course certification benefits are that after course completion, the candidate will get internship opportunities for working on live AI projects that will help the students to gain professional experience in the field at the same time. The candidate will get certification accredited by IABAC that holds high value in the industrial requirement nowadays that will help the candidate in his or her upcoming future. The candidate will achieve placement support after the completion of the course through the DataMites Placement Team only. The candidate can avail of different Artificial Intelligence Engineer Course certification benefits after completion of the course.
FAQs
The candidates must have prior knowledge and experience in any basic programming language such as Python.
First, a candidate needs to make the payment for the course, thereafter they’ll receive a receipt for the payment on the registered mail and the registration is done under the course.
Yes, the candidate will get the Artificial Intelligence Engineer Course certification at the end only after completing the course.
Yes, placement support and career assistance are provided to the candidates. There is a dedicated placement and career mentoring team at DataMites that ensures to impart every support possible for candidates to appear for their placements.
Yes, the total tuition fee is refundable if the candidate cancels the admission within the period. But the exam fee is not refunded.