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Productivity

Data Science

Impact Refinement for Sr. AWS Machine Learning Engineer

Cloud-Based Solutions: Learn to implement machine learning models on AWS for scalable, efficient solutions.

Advanced Data Techniques: Develop expertise in data preprocessing and feature engineering for optimal model performance.

Predictive Analytics: Gain hands-on experience with advanced machine learning algorithms to build accurate predictive models.

Who is it for :

Sr. AWS Machine Lear...

Trusted by Industry Leaders Worldwide: Our Clients

Initiative Components: Holistic Coverage Across the Dimensions!

AntWalk Productivity Initiative Advantage

Consulting Led Success Profile Building

One single platform to do a seamless 30-60-90 day onboarding journey across learning, practice, assessment & application tracking of learning to on-the-ground everyday actions

SP Content Creation

Ability to build a curated learning journey with org. specific content along with role specific content

Customer Success

Drive large scale deployment systematically and seamlessly even with a lean L&D team

Key Competencies to be Assessed

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Curriculum

Module 1

Classical Machine Learning

Supervised and Unsupervised Learning: Distinguish between AI and ML techniques.
Advanced Data Management Techniques: Implement effective data preprocessing strategies.
Classification and Regression Algorithms: Apply and optimize machine learning models.
Ensemble Learning and Optimization: Utilize ensemble methods for improved accuracy.

Module 2

Applied Statistics for Data Science

Applied Statistical Methods: Analyze and interpret complex datasets for insights.
Machine Learning Algorithms: Implement predictive models using advanced techniques.
Data Visualization Techniques: Communicate statistical insights through effective visualizations.
Regression and Forecasting Models: Utilize regression analysis for trend prediction and evaluation.

Module 3

Neural Networks

Advanced Neural Network Architectures : Design and implement complex neural networks for specialized AML tasks.
Optimizing Model Performance : Apply advanced optimization techniques and regularization methods for enhanced model accuracy.
Generative Modeling for Data Augmentation : Utilize GANs for generating synthetic data to improve AML model training.
Natural Language Processing in AML : Develop NLP solutions for effective text analysis and anomaly detection in financial transactions.

Module 4

Evaluation and Model Selection

Model Evaluation Techniques: Assess and compare model performance effectively.
Bias-Variance Trade-Off Management: Balance bias and variance for optimal performance.
Advanced Data Splitting Strategies: Implement robust data partitioning methods.
Cross-Validation Methods: Enhance model generalization through rigorous validation.

Module 5

ML with AWS

Amazon SageMaker: ML Model Development
Amazon Rekognition: Image and Video Analysis
Natural Language Processing with Amazon Comprehend
Deep Learning with AWS: Model Optimization

Module 6

MLOps Model Management

Model Training and Optimization : Train, test, and tune models with continuous retraining to ensure performance.
Model Evaluation and Monitoring : Establish performance metrics, monitor for biases, and implement validation frameworks.

Module 7

MLOps Testing and Monitoring

Code Testing : Implement unit and integration tests; integrate testing frameworks into CI/CD pipelines.
Data Testing : Conduct data validation and monitor quality to manage drift and optimize performance.
Model Monitoring : Monitor models in production and automate retraining based on data or model drift.

Module 8

AWS Data Analytics and Visualization

Analyze Data Visualizations using Amazon QuickSight : Data preparation, visualizations, dashboards, security.
Optimize Search Indexing using Amazon Elasticsearch :Deployment, ingestion, querying, optimization, security.
Query Serverless Data using Amazon Athena : Querying, SQL operations, Glue, automation.
Stream Real-time Analytics using Amazon Kinesis Analytics :Real-time processing, SQL queries, integration, monitoring.

Key tools Covered

Gain Insights From Our Experts

Client Testimonials

Intelligent and adaptive content , superb platform and brilliant resources. It was an excellent experience working with the Antwalk team,

Samar Banerjee

Star Cement

AntWalk invested a lot of time in the first project, even before we had signed up. This went a long way in showing their commitment to this partnership. The cherry on the cake was that they'd done exceptionally detailed work!

Varsha Gandhi

Kotak Mahindra Bank Ltd

Very well planned and well-coordinated Program. Liked the proactive approach of the team. The idea of recording the session and giving it to the participants was highly useful.

Subhashish Biswas

Balrampur Chini Mills

AntWalk's training was exceptional. The curriculum was well-structured, providing in-depth insights into the subject matter. The Trainer exhibited profound knowledge and was adept at conveying complex concepts with clarity. The hands-on activities were invaluable, fostering practical skills. The interactive sessions created a conducive learning environment. Overall, AntWalk's commitment to excellence in training is evident. Grateful for the enriching experience; I highly recommend AntWalk for their exemplary training programs.

Anukriti Dubey

TMF Group

Anukriti Dubey

TMF Group

All your queries Answered

How does AntWalk help in assessing employee skills?

Can AntWalk be used across different industries?

What types of functions and subfunctions can AntWalk assess?

Can AntWalk help in onboarding new employees?

What support does AntWalk offer to clients?

How can AntWalk help with training needs analysis?

Can AntWalk be integrated with our existing HR or LMS systems?

Can the platform be white labeled?

Is AntWalk suitable for small and medium-sized enterprises (SMEs)?

I don't want to run any assessments right away, but I want to get the competency framework done for some of the roles in the organization. Would you be able to do that?

How does AntWalk know which competencies are required for which roles in my organization?

Is it possible for me to add /modify / delete any competency from the already created framework.

A particular competency may be relevant for a junior role as well as a senior role, albeit in a more advanced way. How do you manage that.

I am looking at a large-scale deployment. Do you support that?

Do you also support providing training?

Do you provide support in delivering the program?

I want to explore AntWalk Offerings. How do I get in touch with you?

AntWalk can create customized assessments tailored to specific industries, functions, and subfunctions. These assessments help in evaluating the current skill levels of employees and identifying areas where improvement is needed.