Deep Learning With Python
Learn Deep Learning with Python for real-world skills to work on practical applications.
150 Hours
18 Classes
Learning Modes
Interactive Live Online sessions
Live, Interactive classes—Right on your screen, with instant doubt support.
Blended eLearning​
Your Learning, Your Pace—backed by real-time interaction and doubts support.
Courses Included
Artificial Intelligence Engineering
₹ 20000/-
Artificial Intelligence Engineering
₹ 20000/-
Artificial Intelligence Engineering
₹ 20000/-
₹ 65000/-
₹ 48000*/-
Optional Course
Data Science using R
₹ 20,000
₹ 4000/-
Deep Learning Course Overview
No of classes X Hours
18 x 3 = 54 Hours
+ 6 hrs eLearning
Self Study Hours
90 Hours
(8-10 hrs/week)
12 Assignments & Projects
This Deep learning course offers practical and task-oriented training using TensorFlow and Keras on Python platform. Recent developments in Deep learning have been nothing short of a revolution and have enabled some of the most exciting and powerful applications in the field of Artificial Intelligence.
This is a Deep Learning specialization course which will help you to get a break into AI and Deep Learning domain, with one of the most sought-after skills. After successful completion of this course you will master not only the theory, but also learn how it is applied in the industry. Considering the practical application based curriculum, this is the best Deep Learning training course in India for Data Science professionals who are looking for an industry relevant certification from an eminent Deep Learning Institute.
Aspirants who are want to learn AI Deep Learning training but have no prior knowledge of Data Science with Python, should begin with either Full Stack Data Science & Applied AI course or then opt for this course as duel learning track along with Data Science 360.Â
Course Curriculum
AnalytixLabs offers one of the best deep learning courses online in the indsutry. You will learn the foundations of Deep Learning, understand how to build neural networks, and learn how to build successful Deep Learning based AI projects using Tensor Flow and Keras. You will work on case studies on computer vision, text data processing, Image processing, Speech analytics – Speech to text / Voice tonality, IOT.
Introduction to AI and Deep Learning
Introduction to AI & Deep Learning (AI)
- Modern era of AI
- Role of Machine learning & Deep Learning in AI
- Hardware for AI (CPU vs. GPU vs. FPGA)
- Software Frameworks for AI & Deep Learning
- Key Industry applications of AI
- What are the Limitations of Machine Learning?
- What is Deep Learning?
- Advantage of Deep Learning over Machine learning
- Reasons to go for Deep Learning
- Real-Life use cases of Deep Learning
- Overview of important python packages for Deep Learning
Introduction to Cloud Computing & Git
- Introduction to Google Colab
- What is Cloud Computing? Why it matters?
- Traditional IT Infrastructure vs. Cloud Infrastructure
- Cloud Companies (IBM, Microsoft Azure, GCP, AWS ) & their Cloud Services
- Use Cases of Cloud computing
- Overview of Cloud Deployment Models
- Implementation of ML/DL model in Cloud
- Introduction to git
- Basic git commands hands on
- Recap of Machine Learning
Artificial Neural Network
- Introduction to Artificial Neural Networks
- Hidden layers, hidden units
- Illustrate & Training a Perceptron
- Limitations of A Single Layer Perceptron
- Illustrate Multi-Layer Perceptron
- Activation function, Loss Functions
- Understand Forward & Back propagation – Using Example
- Regularization – Types of Regularization
- Normalization
- Different Optimization Technique – Gradient Descent
- Vanishing Gradient
- Batch in ANN –Â Batch Norm
Introduction to Keras & Pytorch
- How to compose Models in Keras
- Saving and Loading a model with Keras
- Using Tensor Board with Keras
- Intuitively building networks with Keras
- How to compose Models in Pytorch
- Saving and Loading a model with Pytorch
- Intuitively building networks with Pytorch
Computer Vision Applications, Text Mining & Chatbot
Computer Vision & Applications
- History of Computer Vision & Application
- Introduction to Convolution
- Multichannel Convolution
- Advanced Convolution Operation
- Batch Norm & GAP
- Implementation of basic network in Keras
Convolution Neural Nets - Architecture - Implémentation
- Understanding CNN Architecture
- Regularization
- Dropout
- Different Image Augmentation
- Different Learning Rates
- Activation function
- ImplementationÂ
Popular ImageNet models & Transfer Learning
- Introduction to Transfer Learning
- AlexNet,
- VGGNet,
- Resnet,
- ResNext,
- Inception
Computer Vision - Object Detection – Classification – Localization – Object Segmentation
- Object Detection – Localization
- Concept of IOU
- YOLO Model Architecture & Implementation
Computer Vision – Object Segmentation
- Object segmentation & Applications
- RCNN/ Fast RCNN /Faster RCNN
Computer Vision – Face Detection & Recognition
- Face Detection
- Face Tracking
- Face Recognition
Computer Vision - GAN + Auto Encoders
- GAN
- Different GAN Network
- Auto Encoders
Sequential Data, Language Models & Text Mining
Sequential Data – Language Models - Text Mining
- NLP vs. NLU vs. NLG
- Vectorization using Word Embedding’s
- Word2vec and Glove
- RNN/ LSTM/ Bi-LSTM/ GRU
Attention & Introduction to Popular Language Models
- Transfer Learning in Langauge Models
- ULMFiT
- Transformer
- Google’s BERT
- Transformer-XL
- OpenAI’s GPT-2
- ELMo
Language Models - Applications
- Machine Translation
- Text Classification
- Text Segmentation
- Sentiment Analysis
Sequential Data – Time Series - Forecasting using LSTM
Sequential Data – Time Series – Forecasting using LSTM
Build your own Chatbot
- Introduction to Chatbots
- How chatbots work
- Different Types of Chatbots (FAQ, Conversational)
- Building Conversational chatbots
Reinforcement Learning and AI Project Delpoyment in Cloud
Reinforcement Learning
- What is Reinforcement Learning
- Environment
- Agent
- Bellman Equation
- Plan
- Markov Process
- Plan vs Policy
- Q Learning
- Deep Q Learning
- Playing Games with Reinforcement Learning
Deployment & Inference
- Recap AWS Lambda
- Start Deploying model in AWS
- Inference in Html Webpage
AI Project Deployment in Cloud
AI Project Deployment in Cloud
Request a Call back
Who Should Do?
Analytics professionals or aspirants with prior working knowledge of Data Science with Python, who are looking Deep Learning certification to up-skill with the practical applications of AI Deep Learning with TensorFlow and Keras.
Job Roles
- AI ML Specialist
- Machine Learning Specialist
- Data Science Specialist
- AI Specialist
- Data Scientist
Key Skills
- Image Processing using Deep Learning Techniques
- Supervised Learning Models
- Natural Language Processing & Generation (Chatbots)
- Predictive Modelling using Neural Network
- Deep Learning Modelling for AI applications
- Unsupervised Learning Models
- Check your eligibility
Capstone Projects
In addition to multiple case studies used for class sessions, course includes following assignments and projects for self-study and hands-on skills.
Assignments
- Foundation Excercises
Projects
- Credit Card fraud detection (Deep Learning)
- Image classification project (AI DL)
- Chatbot creation (Seq2seq Deep Learning)
- Image classification for inventory management (AI DL)
- Machine language Translation (French to English & Hindi to English)
- Image classification & localization (Using YOLO)
- Automated image captioning (AI DL)
- Toxic comments classification (Deep Learning)
- Age detection using images (AI DL)
Programming Tools and Languages
Training Modes
Fully Interactive Live Online​
Blend the dynamic experience of traditional classroom with engaging, real-time interactive sessions, carefully tailored to meet the demand of busy schedules. This innovative approach ensures effective learning, fostering a deeper understanding and retention of knowledge.
Blended with eLearning
Fuse the rich atmosphere of classroom instruction with the flexibility and accessibility of eLearning modules, meticulously integrated to accommodate learning preferences. This unique blend ensures an optimal learning experience, empowering participants to delve into subjects deeply.
AI & Deep Learning Certification
​AnalytixLabs certifications are highly regarded in the industry due to our extensive domain expertise. As India’s leading Data Science and AI institute, we must maintain the integrity of our certification process.
​Certification will be granted only if the specified requirements within the course timelines are met, which include completing case studies and multiple-choice questions (MCQs), among others. Each candidate will have two attempts to pass each assessment.
​We aim to provide trainees with essential hands-on experience to prepare them for industry challenges.
​Certification must be secured within one year of course registration.
Deep Learning Course Fee
Blended eLearning
₹ 25,000 + taxes
Fuse the rich atmosphere of classroom instruction with the flexibility and accessibility of eLearning modules, meticulously integrated to accommodate learning preferences. This unique blend ensures an optimal learning experience, empowering participants to delve into subjects deeply.
- Cost-effective courses with high ROI, making it worth every penny you invest.
Deep Learning Course Fee
Select the course you want to Enroll:
Classroom & Bootcamp
₹ 30,000 + taxes
EMI starts @ 6496
EMI Options
*Pay in easy EMIs starting at INR ₹6387 per month.
Skill mastery with immersive, hands-on learning guided by mentors. Opt for either our intensive weekday bootcamps or flexible weekend classes to suit your schedule. Experience firsthand the power of in-person mentorship, available in weekday classroom bootcamps, ensuring a rich, experiential learning environment.
- Fees payable in up to 3 installment​s
- 12 months EMI available at 0% interest (though education financing partners).
- Cost-effective courses with high ROI, making it worth every penny you invest.
Fully Interactive Live Online
₹ 30,000 + taxes
EMI starts @ 6496
EMI Options
*Pay in easy EMIs starting at INR ₹6387 per month.
Blend the dynamic experience of traditional classroom with engaging, real-time interactive sessions, carefully tailored to meet the demand of busy schedules. This innovative approach ensures effective learning, fostering a deeper understanding and retention of knowledge.
- Fees payable in up to 3 installment​s
- 12 months EMI available at 0% interest (though education financing partners).
- Cost-effective courses with high ROI, making it worth every penny you invest.
Classroom & Bootcamp
₹ 25,000 + taxes
EMI starts @ 6496
EMI Options
*Pay in easy EMIs starting at INR ₹6387 per month.
Fuse the rich atmosphere of classroom instruction with the flexibility and accessibility of eLearning modules, meticulously integrated to accommodate learning preferences. This unique blend ensures an optimal learning experience, empowering participants to delve into subjects deeply.
- Fees payable in up to 3 installment​s
- 12 months EMI available at 0% interest (though education financing partners).
- Cost-effective courses with high ROI, making it worth every penny you invest.
Career Support
Profile Building
A team of seasoned professionals will provide you personalized help for preparing CV and online profiles, based on your educational background and experience.
Interview Preparation
This will be followed by one to one interview preparation along with mock interviews (if required).
Continuous Support
There will be continuous support from our side for as long as you need it. Most of our students do get multiple interview calls and good career options based on the skills they learn during the course.
How To Apply
select your course, complete the registration form, and make payment.
Submit your application
Submit your application by filling out the form, providing necessary details, and clicking submit to complete the process.
Give a selection test
Take the selection test to demonstrate your skills and knowledge. This will help us assess your readiness for the course.
Reserve your seat
Reserve your seat today to secure your spot in the course. Act fast, as spaces are limited and fill quickly!
Payment
Complete your payment to finalize your enrollment in the course. Choose your preferred payment method and follow the prompts to proceed.
What Students Say About Us?
True Stories, Transformative Career Experience
Piyush Ganar, Class of 2012 IIM Ahmedabad
(Director of Operations, Kenty.AI)
The course material is very easy to understand and the case studies were based on real time business problems. What I love the most about Sumeet and his team is that they never operated the institute like a typical commercial enterprise but more like a temple for learning. The gates of Alabs are always open for students for any kind of help and guidance. I would recommend ALabs to all.
Raajeev Kumar Sahu
(Senior Manager – Data Science, FinTech Startup)
I am from Advance Big Data Science course of Nov 2016 batch. The course was very structured and got real world problems to practice during the final case studies. It has also boosted my skills to start participating in the hackathons. Chandra sir was really helped me in preparing my resume right from very beginning of the course. Also, the placement team was very well organized and connected to industry leaders so that people get the right opportunity right after completing the course. I really recommend this institute, who are interested to transition into analytics field.
Sumit Asthana
(Assistant Manager, Senior Data Scientist)
The rapid pace at which the institutes are mushrooming all over India and Facebook newsfeed being inundated with thousands of options for analytics training, there are only handful of training institutes or rather say only couple of places where they prepare you to foray into rapidly growing analytics vertical. I have been working into legacy systems for past 5 years and was quite apprehensive if I will ever break into data science successfully.
Surbhi Sultania
(Analytics Manager, Mastercard Data & Services)
I took three months Big Data training from Analytix labs. Before joining this course, I had so many questions and doubts that will this course be worthy enough but later I found myself lucky to join this program. All trainers are amazing and always ready to help. Live examples and Case Studies are given which helps in understanding the concept and hands on practice.Not only they help in quality in depth knowledge transfer but also tend to give right direction to your career.
Vibhu Gautam
(Professor of Practice – Computer Science, UPES)
I had been associated with AnalytixLabs since 2012. This has been possible because of the mentor ship and support you get from faculty there specially from Sumeet and Chandra.I did a Business Analytic course with a focus on Marketing Analytic. The course deliver had been great and most importantly you never feel like you are part of formal classroom teaching. You are mentored there at every step, from Code Errors to Understanding Statistics behind it.Â
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Frequently Asked Questions
What if I miss a class?
Our certification for Business Analytics course spans 5-6 months and placement readiness program. The course consists of four main components as part of the curriculum:
- Data visualization and analytics
- Python for data analytics
- Predictive modeling and Machine Learning
- R for Data Science [optional eLearning]
These four-course components will prepare you to acquire raw data, clean and analyze it, identify patterns and build predictive models, and visually represent your findings for any layman to understand.
What if I share my learning account details with a friend?
No. This course is not a master’s program. It is a certification course that is shorter in duration than an MBA course. Also, an MBA [Masters of Business Administration] course is more on the administrative side of the business, while the core of this course is understanding data and enabling data-driven business decisions.
If you want to pursue a Master’s program, you may check our ECTS-accredited post-graduation programs in Analytics and Data Science.
For how long class recordings and LMS access is available?
Yes. Statistics show that job opportunities for business analysts are growing y-o-y. Not just business analysts, extended roles like project managers or business administrators are also becoming extremely popular.
Moreover, analytics skills are becoming ubiquitous, and various job roles consider data analytics skills almost mandatory. So, learning business analytics can also be rewarding now and in the future.
Can I download the recordings?
The Business Analytics course at AnalytixLabs has been touted as one of India’s best business analytics certification courses since 2013 by various prestigious publications. Our course curriculum is designed in collaboration with industry experts and is updated according to the present market scenario.
For additional learning, our team of experts will continue to share free and easy-to-access resources and reading materials for easy upskilling. Meanwhile, you can read our blogs on Business Analytics and related topics.
How do I get the course completion certificate?
You can expect to acquire core skills like analyzing a business problem and understanding its core reason. Simultaneously, you will learn to develop an analytical approach toward businesses and drive data-driven decisions.
Do you provide guaranteed placements?
Beginner candidates from various quantitative backgrounds like Engineering, Finance, Maths, Commerce and Business Management who are looking for Business Analytics training to start their career in Analytics and Data Science.
This course is designed for anyone willing to learn and upskill. No prior knowledge or training is required.
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