Course content
Introduction to Machine Learning
- What is Artificial Intelligence
- What is Machine Learning
- What is Deep Learning
- Understanding Neural Networks
- Machine Learning Algorithms Explained
Machine Learning Pipeline
- The Machine Learning Process
Data
- Introduction
- Feature Selection and Engineering
- Principal Component Analysis (PCA)
- Missing and Unbalanced Data
- Label and One Hot Encoding
- Splitting and Randomization
- RecordIO Format
Machine Learning Algorithms
- Introduction
- Logistical Regression
- Linear Regression
- Support Vector Machines
- Decision Trees
- Random Forests
- K-Means
- K-Nearest Neighbour
- Latent Dirichlet Allocation (LDA) Algorithm
Deep Learning Algorithms
- Introduction
- Neural Networks
- Convolutional Neural Networks (CNN)
- Recurrent Neural Networks (RNN)
Data Engineering
- Create data repositories for machine learning
- Identify and implement a data-ingestion solution
- Identify and implement a data-transformation solution
Exploratory Data Analysis
- Sanitize and prepare data for modelling
- Perform feature engineering
- Analyze and visualize data for machine learning
Modeling
- Frame business problems as machine learning problems.
- Select the appropriate model(s) for a given machine learning problem.
- Train machine learning models.
- Perform hyperparameter optimization.
- Evaluate machine learning models
Machine Learning Implementation and Operations
- Build machine learning solutions for performance, availability, scalability, resiliency, and fault tolerance
- Recommend and implement the appropriate machine learning services and features for a given problem
- Apply basic AWS security practices to machine learning solutions
- Deploy and operationalize machine learning solutions.
AWS Services
- Introduction
- S3
- Glue
- Athena
- QuickSight
- Kinesis, Streams, Firehose, Video, and Analytics
- EMR with Spark
- EC2 for ML
- Amazon ML
Amazon AI Services: Computer Vision
- Introduction to Amazon Rekognition
- Introduction to AWS DeepLens
- Hands-on Rekognition: Automated Video Editing
- Deep Dive on Amazon Rekognition
Amazon AI Services: NLP
- Introduction to Amazon Comprehend
- Introduction to Amazon Comprehend Medical7
- Introduction to Amazon Translate
- Introduction to Amazon Transcribe
- Deep Dive with Amazon Transcribe
Introduction to Amazon SageMaker
- Introduction to Amazon SageMaker
- Introduction to Amazon SageMaker GroundTruth
- Introduction to Amazon SageMaker Neo
- Automatic model tuning using Amazon SageMaker
- Amazon Sagemaker: Object Detection on Images labeled with Ground Truth
- Build a text classification model with Glue and Sagemaker
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Course Prerequisites
The successful candidate likely has 1–2 years of hands-on experience developing, architecting, or running ML/deep learning workloads on the AWS Cloud, along with:
- The ability to express the intuition behind basic ML algorithms
- Experience performing basic hyperparameter optimization
- Experience with ML and deep learning frameworks
- The ability to follow model-training best practices
- The ability to follow deployment and operational best practices
Who can attend
- Individuals performing a development or data science role seeking certification in machine learning and AWS.
Number of Hours: 40hrs
Certification
Key features
- One to One Training
- Online Training
- Fastrack & Normal Track
- Resume Modification
- Mock Interviews
- Video Tutorials
- Materials
- Real Time Projects
- Virtual Live Experience
- Preparing for Certification
FAQs
DASVM Technologies offers 300+ IT training courses with 10+ years of Experienced Expert level Trainers.
- One to One Training
- Online Training
- Fastrack & Normal Track
- Resume Modification
- Mock Interviews
- Video Tutorials
- Materials
- Real Time Projects
- Materials
- Preparing for Certification
Call now: +91-99003 49889 and know the exciting offers available for you!
We working and coordinating with the companies exclusively to get placed. We have a placement cell focussing on training and placements in Bangalore. Our placement cell help more than 600+ students per year.
Learn from experts active in their field, not out-of-touch trainers. Leading practitioners who bring current best practices and case studies to sessions that fit into your work schedule. We have a pool of experts and trainers are composed with highly skilled and experienced in supporting you in specific tasks and provide professional support. 24x7 Learning support from mentors and a community of like-minded peers to resolve any conceptual doubts. Our trainers has contributed in the growth of our clients as well as professionals.
All of our highly qualified trainers are industry experts with at least 10-12 years of relevant teaching experience. Each of them has gone through a rigorous selection process which includes profile screening, technical evaluation, and a training demo before they are certified to train for us. We also ensure that only those trainers with a high alumni rating continue to train for us.
No worries. DASVM technologies assure that no one misses single lectures topics. We will reschedule the classes as per your convenience within the stipulated course duration with all such possibilities. If required you can even attend that topic with any other batches.
DASVM Technologies provides many suitable modes of training to the students like:
- Classroom training
- One to One training
- Fast track training
- Live Instructor LED Online training
- Customized training
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You will receive DASVM Technologies recognized course completion certification & we will help you to crack global certification with our training.
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We accept all major kinds of payment options. Cash, Card (Master, Visa, and Maestro, etc), Wallets, Net Banking, Cheques and etc.
DASVM Technologies has a no refund policy. Fees once paid will not be refunded. If the candidate is not able to attend a training batch, he/she is to reschedule for a future batch. Due Date for Balance should be cleared as per date given. If in case trainer got cancelled or unavailable to provide training DASVM will arrange training sessions with other backup trainer.
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