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Artificial Intelligence Training?
Artificial Intelligence
Training With Placement
- Globally Recognized Certificate
- Real Time Live Training sessions
- Corporate Trainers with 10+ Years Industry Experience
- Hands On Exposure on Real Time Projects
- Resume and Interview Preparation
- Get 100% Guaranteed Job Support
- Join for Internship Programs and get exposure to work on Industry Projects
- 3 Months Job support after completion of training
- Both Online and Offline trainings available
Why Ascent Software for Artificial Intelligence Training ?
- Artificial Intelligence is one of the booming and in-demand technology and we at Ascent cover all the latest concepts
- Advance topics such as Video Analytics, Chatbots, Natural Language Processing, Neural Networks etc. are covered in-depth
- The training is more of practical than theoretical with one on one mentorship
- We keep limited batch size for full trainer attention
- Rich Study Material & handouts for reference
- Assignments are included for each topic
Who Can Do This Course ?
- Artificial Intelligence Training can be done by Freshers, Job Seekers and Working Professionals
- There is no prerequisite needed to learn Artificial Intelligence
- The course is strategically designed to suffice the requirement of current industry requirements
- Freshers will find the course easy to understand as every inch of basic knowledge is covered in it
- Experience people who are willing to learn new technologies will find the course very interesting as all topics are elaborated with live examples and real time assignments
Training Methodology
Artificial Intelligence- Syllabus
Best-in-industry, strategically designed Course Content, Projects, Class Sessions to
accomplish the changing requirement of market
- Field of Machine Learning and its impact on the field of Artificial Intelligence
- The benefits of Machine Learning w.r.t. traditional methodologies
- Deep Learning introduction and how it is different from all other Machine Learning methods
- Classification and regression in supervised learning
- Clustering and association in unsupervised learning and the algorithms that are used in these categories
- Introduction to AI and neural networks
- Machine Learning concepts
- Supervised learning with neural networks
- Fundamentals of statistics, hypothesis testing, probability distributions, and hidden Markov models
- Multi-layered networks introduction, regularization, and deep neural networks
- Multi-layer perceptron
- Overfitting and capacity
- Neural network hyperparameters and logic gates
- Different activation functions used in neural networks, including ReLU, Softmax, Sigmoid, and hyperbolic functions
- Backpropagation, forward propagation, convergence, hyperparameters, and overfitting
- Various methods that are used to train artificial neural networks
- Perceptron learning rule, gradient descent rule, tuning the learning rate, regularization techniques, and optimization techniques
- Stochastic process, vanishing gradients, transfer learning, and regression techniques
- Understanding how Deep Learning works
- Activation functions, illustrating perceptron, and perceptron training
- Multi-layer perceptron and the key parameters of perceptron
- TensorFlow introduction and its open-source software library that is used to design, create, and train
- Deep Learning models followed by Google’s tensor processing unit (TPU) programmable AI
- Python libraries in Tensor Flow, code basics, variables, constants, and placeholders
- Graph visualization, use-case implementation, Keras, and more
- Keras high-level neural network for working on top of TensorFlow
- Defining complex multi-output models
- Composing models using Keras
- Sequential and functional composition and batch normalization
- Deploying Keras with TensorBoard and neural network training process customization
- Using TFLearn API to implement neural networks
- Defining and composing models and deploying TensorBoard
- Mapping the human mind with deep neural networks (DNNs)
- Several building blocks of artificial neural networks (ANNs)
- The architecture of DNN and its building blocks
- Reinforcement learning in DNN concepts, various parameters, layers, optimization of algorithms in DNN, and activation functions
- What is a convolutional neural network?
- Understanding the architecture and use cases of CNN
- What is a pooling layer? How to visualize using CNN?
- How to fine-tune a convolutional neural network?
- What is transfer learning?
- Understanding recurrent neural networks, kernel filter, feature maps, and pooling, and deploying convolutional neural networks in TensorFlow
- Introduction to the RNN model
- Use cases of RNN and modeling sequences
- RNNs with backpropagation
- Long short-term memory (LSTM)
- Recursive neural tensor network theory, the basic RNN cell, unfolded RNN, and dynamic RNN
- Time-series predictions
- GPU introduction, how it is different from CPU, and the significance of GPU
- Deep Learning networks and forward pass and backward pass training techniques
- GPU constituent with simpler core and concurrent hardware
- Introduction to RBM and autoencoders
- Deploying RBM for deep neural networks and using RBM for collaborative filtering
- Autoencoders features and applications of autoencoders
- Image processing
- Natural Language Processing (NLP): Speech recognition and video analytics
- Automated conversation bots leveraging any of the following descriptive techniques: IBM Watson, Microsoft’s Luis, and open–closed domain bots
- Generative model and the sequence to the sequence model (LSTM)
- Project using Artificial Intelligence
- FAQs & Interview Preparation
To Enquire for Placement Related Queries
CALL 9035037886
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Learn At Home With Ascent Software
We provide same level of guidance in Online training as in classroom training. You can enquire anytime to get complete details about the courses. Our career counsellors are well trained in industry required technologies and placements.
#We are rated as "Best Online-Training Provider"
Highlights of Artificial Intelligence Training
Deep Learning &
Neural Networks
Keras & TFLearn API
Deep Learning Applications
Multilayered & Artificial Neural Networks
Autoencoders & Restricted Boltzmann Machine
DNNS, RNNS & CNNS
Chatbots &
NLP, LSTM
Live Projects & Interview Preparation
Meet Our Industry Expert Trainers
# Certified Trainers
# 10+ Years of Industry Experience
# Study Materials Designed On Real Time Problems
# Excellent Communication
# Expert Interview Panel
# Corporate Trainings
# 10+ Years of Industry Experience
# Study Materials Designed On Real Time Problems
# Excellent Communication
# Expert Interview Panel
# Corporate Trainings
Call us: 080-4219-1321 hours: 8am-9pm
- course Duration
The focus is on In-Depth Practical Knowledge with a division of 30% Theory and 70% Practical sessions. Weekdays and weekend batches are available.
- Certified Trainers
We have best working professionals who are certified and have current industry knowledge to cater the needs of students.
- Placements
The program is focused to make a candidate get aware of industry requirement. Classes are followed with interview questions with are very important to crack an interview.
- Course Benefits
Covering up the course a person can easily crack an interview and can work on any real time projects as focus is more on practical training. An Industry Recognised Course Completion Certificate is a part of program.
- Course Highligts
Each topic is covered In-depth with Theory and Practical sessions. Training sessions are covered using Presentations followed by Assignments to enhance the knowledge of students.
- Internship programs
We have separate Internship Programs for Final Year students and Trainee Professionals which includes projects under Certified Trainer guidance . It also includes Internship Completion Certificate.
Internship Programs
- 6 Months Internship for Final - Year Students
- 3 Months Internship for First, Second and Third year students
- 6 Months Internship for BE, B.Tech, BSC and other students
- Internship for Working Professionals
- Internship Program to get hands on experience
- Internship Programe Certificate Issued
Our Hiring Partners For Placements
Artificial Intelligence - Batch Schedule
Mon-Fri | 8 AM to 10 AM | 12 AM to 2 PM
Sat- Sun | 8 AM to 10 AM | 12 AM to 2 PM
Mon-Fri | 6 PM to 8 PM | 7 PM to 9 PM
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CALL : 9620983072 | 9035037886
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FAQ
Most frequent questions and answers
Ascent Software provides all necessary modes of training
- Classroom Training
- Live Instructor LED Online Training
- One to One training
- Fast Track Training
- Customized Training
- Corporate Training
No worries. We at Ascent Software assures that a student should get full advantage of every session and if a class is missed that there is always a provision of backup class. We have different batches for the same course so the student is free to attend the same topic in any other batch within the stimulated course duration. If a student is unable to undersatnd certain topic then also the same process can be done.
A student can book a slot for free demo class as per his convenient timing. We have both classroom and online demo classes.
After completion of course a student will recieve globally recognized Ascent Software Training Institute Course Completion Certificate.
We accept all kinds of payment options. Cash, Card, NetBanking, Paytm, Google Pay, PhonePe etc.
You can call on 080-42191321 or you can enquire at hr@ascentcourses.com
Working hours
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(Phone until 20:30 Hrs)
Sunday - 8:00 -14:00
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Phone: 080-42191321
Mob : 9035037886
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