- Introduction to Artificial Intelligence (AI)
- AI Data Strategy
- AI Ethics, Issues and Concerns
- AI Challenges
- Use Cases, and Adaption
Online
2 Months
₹ 18,348 32,000
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
The Artificial Intelligence Expert by DataMites is a 3 phase learning-based programme requiring 2 months of duration for the course to complete and impart. The course candidate will be able to avail of model deployment in the cloud with a focus on expert levels of artificial intelligence concepts, and modelling with TensorFlow.
This programme is a part of Global Artificial Intelligence Certification with placement assistance for career transition. The Artificial Intelligence Expert certification syllabus is a 20-hour-based live online programme with 80 learning hours, 10 capstone projects, and 1 client project. The IABAC has accredited this certificate programme where the syllabus is designed based on the EU framework.
The highlights
- 3 ways of learning - Classroom training, Live virtual and Blended learning
- 2 month programme
- 5 capstone projects
- Certificate of completion by DataMites
- 20-hour live online programme
- 80 learning hours
- 1 client project
- IABAC accreditation
- Internship and job assistance
- Global Artificial Intelligence Certification programme
- Course imparted by DataMites
Program offerings
- Cloud lab
- Case studies
- Capstone projects
- Client project
- Live training
- Project mentoring
- Doubt sessions
- Data sets
- Cheat sheet
- Study material
- Newsletter
- Internship
- Blended learning
Course and certificate fees
Fees information
- The cost set as Artificial Intelligence Expert fee varies depending on the enrollment path chosen.
Artificial Intelligence Expert fee detail
Particulars | Amount in INR |
Virtual Live session | Rs.36,798 |
Blended learning (Self-learning + Live) | Rs.18,348 |
Classroom in person | Rs.40,898 |
certificate availability
certificate providing authority
Eligibility criteria
Work Experience
The Artificial Intelligence Expert online course only recommends experience in the Artificial Intelligence domain with no mandatory requirements.
Certification Qualification Details
To receive the Artificial Intelligence Expert certification, the applicant must complete all of the cloud lab sessions, portfolio projects, and capstone projects. It is essential to complete the entire course. Thereafter, the candidates will get the certificate of completion.
What you will learn
The Artificial Intelligence Expert certification course is planned for the following:
- The Artificial Intelligence Expert certification syllabus will introduce students to artificial intelligence, data strategy, ethics, issues, concerns, challenges, use cases and adoption.
- The candidates will be taught about the TensorFlow platform with installation, operations with the Keras package.
- The candidates will learn about Neural networks, structure, core concepts, feed-forward algorithm, backpropagation, and NumPy.
- The candidate will learn about deep neural network implementation in Keras and MNIST dataset.
- The candidate will learn about Computer vision in convolutional neural networks, transfer learning, flower dataset, reset modelling.
- The candidate will be able to learn about recurrent neural networks, sequences and examples, natural language processing, reinforcement learning, Markov decision process, and adversarial networks.
- The candidate will learn about deploying AI models in the cloud such as Amazon web services and deep learning models using AWS Sagemaker.
Who it is for
The Artificial Intelligence Expert certification course is for the following candidates:
- Professionals who are working in the domain of Operations
- Candidates who aspire to make a career in the field of Artificial Intelligence
Admission details
Filling the form
The candidate must complete the following steps in order to receive Artificial Intelligence Expert training.
Step 1: The candidate must go and visit the official course webpage.
Step 2: Select "Enquire Now" and fill out all of the relevant information.
Step 3: Depending on the pathway chosen for certification, the candidate must follow the links and actions outlined.
Step 3: The candidate can make the required payment to join the programme.
The syllabus
Artificial Intelligence Foundation
Machine Learning Foundation
- 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 Cnnswith 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 RL
- Model-Based Method
- Dynamic Programming Model Free Methods
Deep Reinforcement Learning
- Architectures Of Deep Q Learning
- Deep Q Learning
- Policy Gradient Methods
- Actor-Critic 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
- Amazon Web Services (AWS)
- Deploying Deep Learning Models Using AWS Sagemaker
How it helps
The Artificial Intelligence Expert programme helps the student with highly well-designed coursework in the area of artificial intelligence. The programme will assist in the development of a comprehensive understanding of Artificial Intelligence and its applications in the real world with the wide acceptance of the certificate and helpful towards advancing the candidate’s professional path.
The applicant will be able to avail a lot of services from the DataMites platform in terms of resume building, interview preparation, and mock interviews. The International Association of Business Analytics Certification has accredited the course and it is presented by highly qualified trainers or instructors.
The extensive learning resources and hours will assist students in adapting to their learning needs and the hands-on projects that will assist applicants in developing their portfolios. The certificate will assist the individual in seeking and developing a profession in artificial intelligence to a highly advanced level, as well as networking with possible employers.
FAQs
The candidates pursuing this programme have an edge in this field as the programme is accredited by the International Association of Business Analytics Certification (IABAC).
Artificial Intelligence Expert certification is available in three formats: blended learning (self-learning + live), in-person classrooms, and virtual live sessions.
Artificial Intelligence Expert training will include 16 hours sessions, 5 capstone projects, 80 learning hours for 2 months with cloud lab access, internship, and job assistance.
In this Artificial Intelligence Expert online course, the hybrid approach includes self-learning and a live mentorship programme, as well as one year of access to e-learning with job assistance.
The Artificial Intelligence Expert certification benefits the participant in developing a thorough understanding of Artificial Intelligence and its applications in the actual world in which the certification has widespread acceptance and is beneficial for advancing one's career path.