Overview Our Clients Initiative Components Key Competencies Curriculum Our Experts Testimonials Similar Initiatives FAQ

Productivity

Data Science

Performance Elevation for Sr. Machine Learning Engineers

Data and Model Proficiency: Master data preparation and model training for AWS ML certification

Deployment Expertise: Learn to deploy, scale, and automate ML models on AWS

Robust Monitoring and Security: Develop monitoring and security skills for ML pipelines

Who is it for :

Sr. Machine Learning...

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

Add Data to View

Curriculum

Module 1

Applied Statistics for Data Science

Introduction to Statistics: Explore random numbers, probability distributions, time series forecasting
Statistics for Business Analytics: Delve into linear regression, hypothesis formulation
Statistical Learning: Progress to tree-based models, support vector machines
Mathematics & Statistics Essentials: Enhance mathematical skills, analyze data dispersion

Module 2

Foundations of Classical Machine Learning

Understanding Supervised and Unsupervised Learning: Grasp fundamental principles
Machine Learning Data Management and Optimization: Master effective techniques
Linear Regression Fundamentals: Acquire solid understanding
Advanced Feature Engineering and Dimensionality Reduction Techniques: Apply advanced techniques
Classification Algorithms: Utilize advanced algorithms
Clustering Algorithms: Implement advanced clustering techniques
Pattern Growth: Address scalability challenges
Ensemble Learning: Master advanced ensemble learning techniques
Model Deployment Expertise: Apply classification techniques effectively
Optimization Techniques: Acquire proficiency in gradient descent
Advanced Regression Analysis: Implement polynomial regression, Ridge, and Lasso Regression
Classification Powerhouse: Understand logistic regression optimization, SVM hyperparameters, and voting classifiers
Clustering Mastery: Implement advanced clustering techniques
Feature Engineering & Dimensionality Reduction: Apply Low-Rank Approximations, pLSA, NMF, and t-SNE
Pattern Growth at Scale: Address scalability challenges
Ensemble Learning: Master advanced ensemble learning techniques

Module 3

Neural Networks

Foundation: Explore advanced activation functions and optimization algorithms
MLPs: Combine MLPs with other components, investigate adaptive learning rate methods
ANNs: Fine-tune pretrained language models, explore memory-augmented neural networks
CNNs: Explore CNN-based architectures, implement instance segmentation
RNNs: Design hybrid architectures, investigate memory-augmented RNNs
GANs: Apply conditional labels, use GANs for style transfer, super-resolution, and image synthesis
NLP: Apply transfer learning, explore sampling methods
Transfer Learning: Discuss trade-offs, apply pretrained models to unseen classes
Autoencoder Proficiency: Investigate cross-modal transfer, collaborate with domain experts, set up recommendation campaigns

Module 4

Reinforcement Learning Techniques

Reinforcement Learning: Explore Genetic Algorithms and Actor-Critic for optimization. Enhance RL with advanced algorithms

Module 5

Model Evaluation and Selection

Bias-Variance Trade-off: Manage bias-variance balance
Model Evaluation Metrics: Choose appropriate metrics
Data Splitting Strategies: Employ robust data splitting
Cross-Validation Methods: Implement various cross-validation techniques

Module 6

Machine Learning with AWS

Amazon SageMaker: Optimize model deployment, implement A/B testing, and monitor models
Amazon Rekognition: Integrate Rekognition, address privacy concerns
Amazon Comprehend: Design recommendation systems
AWS Deep Learning AMIs: Collaborate with business leaders, optimize costs
AWS Textract: Utilize Textract for document analysis, extract text, tables, and forms
Amazon Personalize: Implement personalized recommendations for various domains
Amazon Forecast: Predict future trends and patterns using forecasting models

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.