Deep Learning and Artificial Intelligence Training Course in Gurgaon
Deep Learning and Artificial Intelligence (AI) is the future innovation with AI tools like PyTorch and Deep Learning frameworks (TensorFlow, Auto) for intelligent automation. We are delivering this training in Gurgaon where-in core AI principles to automatically learn complex patterns from large amount of data driving application Image Recognition, Self Driving cars & others will be taught using hands-on training to become successful Deep Learning & AI Engineer.
- Develop Deep Leaning models using Neural Networks & build Deep Learning applications to detect complex patterns from large amount of data.
- Training program will provide interactive sessions with industry professionals
- Realtime project expereince to crack job interviews
- Course Duration - 3 months
- Get training from Industry Professionals
Train using realtime course materials using online portals & trainer experience to get a personalized teaching experience.
Active interaction in sessions guided by leading professionals from the industry
Gain professionals insights through leading industry experts across domains
24/7 Q&A support designed to address training needs
Deep Learning and Artificial Intelligence Course Overview
Shape your carrer in Deep Learning and Artificial Intelligence (AI) using AI tools like PyTorch and Deep Learning frameworks (TensorFlow, Keras & others) for intelligent automation. We are delivering this training where-in core AI principles to automatically learn complex patterns from large amount of data driving application Image Recognition, Self Driving cars & others will be taught using hands-on training to become successful Deep Learning & AI Engineer .This training helps to understand how to build Deep Learning applications using neural networks to detect patterns from the data. Also learn to deploy deploy these models on Hybrid Cloud platforms (AWS, Azure, GCP & others) & integrate it with MLOps pipelines to automate entire DL lifecycle. This training will provide hands-on training & covers DL modules, workflows, variables & other concepts to speed, scale & automate model development.
- Benefit from ongoing access to all self-paced videos and archived session recordings
- Success Aimers supports you in gaining visibility among leading employers
- Industry-paced training with realtime scenarios using Deep Learning tools (TensorFlow, Keras & others) for DL model development, deployment automation.
- Real-World industry scenarios with projects implementation support
- Live Virtual classes heading by top industry experts alogn with project implementation
- Q&A support sessions
- Job Interview preparation & use cases
Explain Deep Learning & AI Engineers?
Deep Learning &Â AI Engineers build DL applications to detect complex patterns from the data using development frameworks like TensorFlow, Keras and others for intelligent automation that will allow organizations to boost decision making and also thrive business growth with improved customer satisfaction. AI engineers build optimized DL workflows, deployment and maintain the AI development life cycle to deliver high-precise solutions to the clients using AI frameworks/workflow builders.
Role of Deep Learning & AI Engineer?
Deep Leaning & AI Engineers automate business processes via AI development frameworks like TensorFlow, Keras and others for intelligent automation that will allow organizations to boost decision making and also thrive business growth with improved customer satisfaction. AI engineers build optimized workflows, deployment and maintain the AI development life cycle to deliver high-precise solutions to the clients using AI frameworks/workflow builders.
Who should opt for Deep Learning & AI Engineer course?
Deep Learning & AI Engineer course accelerates/boost career in Data & Cloud organizations.
- Deep Learning & AI Engineer – Deep Learning & AI Engineer manages the end-to-end DL deployment life cycle using MLFlow and Neural Network templates.
- Deep Learning & AI Engineer – Implementing MLOps Pipelines using MLFlow & Deep Learning Tools.
- Deep Learning & AI Developers – Automated ML deployment & workflows using MLFlow & Deep Learning Tools.
- ML Architect – Leading Deep Learning & AI initiative within enterprise.
- Cloud and ML/AI Engineers – Deploying DL Application using ML automation tools including MLFlow, Kubeflow, Tensorboard & others across environments seamlessly and effectively.
Prerequisites of Deep Learning & AI Engineer Course?
Prerequisites required for the Deep Learning & AI Engineer Certification Course
- High School Diploma or a undergraduate degree
- Python + JSON/YAML scripting language
- IT Foundational Knowledge along with ML and cloud infrastructure skills
- Knowledge of Cloud Computing Platforms like AWS, AZURE and GCP will be an added advantage.
Kind of Job Placement/Offers after Deep Learning & AI Engineer Engineer Certification Course?
Job Career Path in Deep Learning & AI Engineer (Cloud) using MLFlow & Deep Learning frameworks/tools.
- Deep Learning & AI Engineer – Develop & Deploying Deep Learning & AI Engineer models within cloud infrastructure using Deep Learning frameworks & similar tools.
- Deep Learning & AI Engineer – Design, Developed and build automated ML workflows to drive key business processes/decisions.
- ML Architect – Leading ML/DL initiative within enterprise.
- Deep Learning & AI Engineer – Implementing ML Pipelines using MLOps & Deep Learning frameworks/ Tools.
- Cloud and ML Engineers – Deploying ML/DL Application using Deep Learning tools including MLFlow across environments seamlessly and effectively.
| Training Options | Weekdays (Mon-Fri) | Weekends (Sat-Sun) | Fast Track |
|---|---|---|---|
| Duration of Course | 2 months | 3 months | 15 days |
| Hours / day | 1-2 hours | 2-3 hours | 5 hours |
| Mode of Training | Offline / Online | Offline / Online | Offline / Online |
Deep Learning Course Curriculum
Start your carrer in AI with certification in Deep Learning Course & AI Engineer course, that will help in shaping the carrer to the current industry needs that need AI automation using intelligent ML workflows like TensorFlow, Keras & others in every domain & sphere of the industry that will allow organizations to boost decision making & also thrive business growth with improved customer satisfaction.
Deep Learning
Artificial Neural Networks (ANN)
- Introduction to ANN
- What is Deep Learning?
------------------------------Artificial Neural Networks---------------------------------
ANN Intitution
- Plan of Attack
- The Neuron
- The Activation Function
- How do Neural Networks work?
- How do Neural Networks learn?
- Gradient Descent
- Stochastic Gradient Descent
- Backpropagation
Building an ANN
- Business Problem Description
- Building an ANN – Step 1
- Building an ANN – Step 2
- Building an ANN – Step 3
- Building an ANN – Step 4
- Building an ANN – Step 5
----------------------------Convolutional Neural Networks (CNN)--------------------
Convolutional Neural Networks
- Plan of attack
- What are convolutional neural networks?
- Step 1 - Convolution Operation
- Step 1(b) – ReLU Layer
- Step 2 – Pooling
- Step 3 – Flattening
- Step 4 – Full Connection
- SoftMax & Cross-Entropy
Building an CNN
- Business Problem Description
- Building an CNN– Step 1
- Building an CNN– Step 2
- Building an CNN– Step 3
- Building an CNN– Step 4
- Building an CNN– Step 5
----------------------------Recurrent Neural Networks (RNN)------------------------
RNN Intitution
- What we’ll need for RNN
- Plan of attack
- The idea behind Recurrent Neural Networks
- The Vanishing Gradient Problem
- LSTM’s
- Practical Intitution
- LSTM Variations
Building an RNN
- Business Problem Description
- Building an RNN– Step 1
- Building an RNN– Step 2
- Building an RNN– Step 3
- Building an RNN– Step 4
- Building an RNN– Step 5
Evaluating and Improving
- Evaluating the RNN
- Improving the RNN
----------------------------Self Organizing Maps (SOM’s)----------------------------
SOMs Intitution
- Plan of attack
- How do Self-Organizing Maps Work?
- Why revisit K-Means?
- K-Means Clustering
- How do Self-Organizing Maps Learn?
- Reading an Advanced SOM
Building a SOM
- Building a SOM – Step 1
- Building a SOM – Step 2
- Building a SOM – Step 3
-----------------------------Boltzmann Machines--------------------------------------
Boltzmann Machine Intitution
- Plan of attack
- Boltzmann Machine
- Energy-Based Models (EBM)
- Restricted Boltzmann Machine
- Contrastive Divergence
- Deep Belief Networks
- Deep Boltzmann Machines
Building a SOM
- Installing PyTorch
- Building a Boltzmann Machine - Introduction
- Building a SOM – Step 1
- Building a SOM – Step 2
- Building a SOM – Step 3
- Building a SOM – Step 4
- Evaluating the Boltzmann Machine
-----------------------------------AutoEncoders--------------------------------------------
Auto Encoders Intitution
- Plan of attack
- Auto Encoders
- A Note on Biases
- Training an Auto Encoder
- Overcomplete Hidden Layers
- Sparse Autoencoders
- Denoising Autoencoders
- Contractive Autoencoders
- Stacked Autoencoders
- Deep Autoencoders
Building an Auto Encoder
- Installing PyTorch
- Building an Autoencoders – Step 1
- Building an Autoencoders – Step 2
- Building an Autoencoders – Step 3
- Building an Autoencoders – Step 4
Hours of content
Live Sessions
Software Tools
After completion of this training program you will be able to launch your carrer in the world of AI being certified as Deep Learning & AI Engineer Certified Professional.
With the AI Certification in-hand you can boost your profile on Linked, Meta, Twitter & other platform to boost your visibility
- Get your certificate upon successful completion of the course.
- Certificates for each course
- MLFlow
- Deep Learning
- Tensorflow
- Keras
- Neural Network
- Convolutional Neural Network (CNN)
- Recurrent Neural Network (RNN)
- Azure Container Registry
- Artificial Neural Network (ANN)
- KubeFlow
- MLOps
- Kubernetes
- ML Pipeline
- Docker
45% - 100%
Designed to provide guidance on current interview practices, personality development, soft skills enhancement, and HR-related questions
Receive expert assistance from our placement team to craft your resume and optimize your Job Profile. Learn effective strategies to capture the attention of HR professionals and maximize your chances of getting shortlisted.
Engage in mock interview sessions led by our industry experts to receive continuous, detailed feedback along with a customized improvement plan. Our dedicated support will help refine your skills until your desired job in the industry.
Join interactive sessions with industry professionals to understand the key skills companies seek. Practice solving interview question worksheets designed to improve your readiness and boost your chances of success in interviews
Build meaningful relationships with key decision-makers and open doors to exciting job prospects in Product and Service based partner
Your path to job placement starts immediately after you finish the course with guaranteed interview calls
Why should you choose to pursue a Deep Learning & AI course with Success Aimers?
Success Aimers teaching strategy follow a methodology where in we believe in realtime job scenarios that covers industry use-cases & this will help in building the carrer in the field of AI & also delivers training with help of leading industry experts that helps students to confidently answers questions confidently & excel projects as well while working in a real-world
What is the time frame to become competent as a Deep Learning & AI engineer?
To become a successful Deep Learning & AI Engineer required 1-2 years of consistent learning with dedicated 3-4 hours on daily basis. But with Success Aimers with the help of leading industry experts & specialized trainers you able to achieve that degree of mastery in 6 months or one year or so and it’s because our curriculum & labs we had formed with hands-on projects.
Will skipping a session prevent me from completing the course?
Missing a live session doesn’t impact your training because we have the live recorded session that’s students can refer later.
What industries lead in Deep Learning & AI implementation?
Manufacturing
Financial Services
Healthcare
E-commerce
Telecommunications
BFSI (Banking, Finance & Insurance)
“Travel Industry
Does Success Aimers offer corporate training solutions?
At Success Aimers, we have tied up with 500 + Corporate Partners to support their talent development through online training. Our corporate training programme delivers training based on industry use-cases & focused on ever-evolving tech space.
How is the Success Aimers Deep Learning & AI Certification Course reviewed by learners?
Our Deep Learning & AI Engineer Course features a well-designed curriculum frameworks focused on delivering training based on industry needs & aligned on ever-changing evolving needs of today’s workforce due to AI. Also our training curriculum has been reviewed by alumi & praises the through content & real along practical use-cases that we covered during the training. Our program helps working professionals to upgrade their skills & help them grow further in their roles…
Can I attend a demo session before I enroll?
Yes, we offer one-to-one discussion before the training and also schedule one demo session to have a gist of trainer teaching style & also the students have questions around training programme placements & job growth after training completion.
What batch size do you consider for the course?
On an average we keep 5-10 students in a batch to have a interactive session & this way trainer can focus on each individual instead of having a large group
Do you offer learning content as part of the program?
Students are provided with training content wherein the trainer share the Code Snippets, PPT Materials along with recordings of all the batches
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