Trainer

12 yrs exp

Duration

90 Days

Recordings

120 Hrs

Material

Reading and LAB guide

Online LAB

Server 24x7 available

Course Overview

Join Bangalore’s leading Data Science Training Institute to master cutting-edge skills in data analysis, AI, machine learning, and programming—designed for the Silicon Valley of India.
  • Grasp Data Science Essentials: Understand end-to-end data workflows—from collection and cleaning to exploratory analysis and insight generation.
  • Deep Dive into Statistics & Probability: Master hypothesis testing, distributions, and modeling techniques critical for data science roles.
  • Manipulate & Visualize Data Like a Pro: Use Python libraries (Pandas, NumPy, Matplotlib, Seaborn) to clean, transform, and visualize complex datasets.
  • Apply ML Algorithms Hands-On: Implement regression, classification, clustering, and advanced techniques with real-world Bangalore-based case studies.
  • Build & Validate Predictive Models: Learn model evaluation, hyperparameter tuning, and avoiding common pitfalls like overfitting.
  • Handle Big Data at Scale: Work with Hadoop, Spark, and cloud services to process massive datasets used by Bangalore’s top tech giants.
  • Tell Compelling Data Stories: Craft dashboards, reports, and presentations to influence decision-makers in startups and MNCs.

✅ Real-time case studies | ✅ Practical hands-on labs | ✅ Certification Guidance

Who should go for this training?
The following professionals can go for this course:

  • Anyone who are willing to transform their careers for trending Jobs of 21st Century

What are the pre-requisites for this Course?

  • Laptop/Desktop with at least 8 GB of RAM, good capacity Hard Drives and good internet connectivity.
  • No programming knowledge needed, foundational knowledge will be provided

Course Overview

Course Content

Expand All
  •   What is Data Science?
  •   Roles and Responsibilities in Data Science
  •   Typical Data Science Workflow and Lifecycle
  •   Roles: Data Analyst, Data Engineer, Data Scientist, ML Engineer
  •   Career Opportunities and Industry Trends
  •   Jupyter & Google Colab Notebooks
  •   Setting Up the Environment
  •   Best Practices for Data Science Projects
  •   Core Fundamentals and Syntax
  •   Operators and Flow Control
  •   String Data Type & Manipulations
  •   Data Structures: Lists, Tuples, Sets, Dictionaries
  •   Functions, Modules, and Packages
  •   Object-Oriented Programming (Parts 1–4)
  •   Exception & File Handling
  •   Multithreading and Database Programming
  •   Regular Expressions and Web Scraping
  •   Decorator & Generator Functions
  •   Assertions and Logging
  •   Understanding Data Patterns and Insights
  •   Data Cleaning, Transformation, and Summarization
  •   Introduction & Setup
  •   Line, Bar, Pie, Histogram, and Scatter Plots
  •   Grid Lines, Legends, Axis Customization
  •   Advanced Visualizations: Subplots, 3D, Geographic Data, Animations
  •   Interactive Plots & Figure Customization
  •   Array Creation & Fundamentals
  •   Operations, Indexing & Data Manipulation
  •   Advanced Computations and Applications
  •   DataFrames: Structure and Operations
  •   Data Selection, Indexing, and Transformation
  •   Merging, Grouping, and Aggregation
  •   Distance Metrics: Euclidean, Manhattan, Cosine
  •   Descriptive Statistics & Data Distributions
  •   Probability and Random Variables
  •   Sampling & Hypothesis Testing
  •   Regression Basics and ML Statistical Methods
  •   Frequency & Contingency Tables
  •   Graphical Methods: Bar, Pie, Line, Histogram, Ogive
  •   Measures: Mean, Median, Mode, IQR, Variance, SD
  •   Box Plots and Outlier Detection
  •   Venn Diagrams and Weighted Summaries
  •   Normal Distribution, z-Scores, Chebyshev’s Theorem
  •   Covariance, Correlation (Pearson), Scatterplots
  •   Residuals, R², RMSE
  •   Core Terminology and Rules
  •   Conditional Probability and Bayes’ Theorem
  •   Real-World Use Cases
  •   PMF, CDF Concepts
  •   Discrete Distributions: Bernoulli, Binomial, Poisson
  •   Continuous Distributions and Applications
  •   Experimental vs Observational Studies
  •   Sampling Methods and Bias Handling
  •   Sampling of Means and Proportions
  •   t-Distribution and Confidence Intervals
  •   Null & Alternative Hypotheses
  •   One/Two-Tailed Tests, Significance, Errors, Power
  •   p-Values, Decision Rules
  •   t-Test, ANOVA, Chi-Square, Proportion Tests
  •   Overview and Applications of ML
  •   ML Types: Supervised, Unsupervised, Reinforcement
  •   End-to-End ML Workflow
  •   Data Preprocessing: Handling Missing Values, Encoding, Scaling
  •   Simple & Multiple Linear Regression
  •   Polynomial Regression
  •   Support Vector Regression (SVR)
  •   Logistic Regression
  •   K-Nearest Neighbors (KNN)
  •   Support Vector Machines (SVM)
  •   Naive Bayes
  •   Decision Trees & Random Forests
  •   K-Means and Hierarchical Clustering
  •   Model Evaluation and Validation
  •   Cross-Validation, Grid Search
  •   XGBoost and Ensemble Methods
  •   Agents, Environment, Rewards, and Actions
  •   Exploration vs Exploitation
  •   UCB and Thompson Sampling
  •   Text Preprocessing, Tokenization
  •   Bag of Words & TF-IDF Models
  •   Sentiment Analysis
  •   Introduction to Neural Networks
  •   Activation Functions and Architectures
  •   Basic CNN for Image Classification
  •   Text Data Sources and Applications
  •   Web Scraping for Text
  •   Tokenization, Stop Words, Stemming, Lemmatization
  •   Bag of Words (BoW), One-Hot Encoding, TF–IDF
  •   Building a Text Classification Pipeline
  •  When and Why to Use Deep Learning
  •   Epochs, Layers, Activation, and Cost Functions
  •   Building Dense Neural Networks
  •   CNN (Convolutional Neural Networks)
  •   RNN (Recurrent Neural Networks)
  • Understanding Prompts and Context
  •  Role, Chain-of-Thought, and Contextual Prompts
  •  Few-shot, Zero-shot, and Multi-turn Prompting
  •   How Large Language Models Work
  •   Strengths, Limitations, and Use Cases
  •  Prompt Libraries, API Integrations, and Automation Tools
  •   End-to-End Project Implementation
  •   Model Packaging and Containerization
  •   Deployment Options (Streamlit, Flask, GCP, AWS)
  •   Monitoring and Maintenance
  •   Project 1: Agentic Workflow using Crew AI
  •   Project 2: Agentic Workflow using n8n
  •   Project 3: Agentic Workflow in GCP Environment
  •   Project 4: Custom Agentic Workflow (Capstone Project)
Brochure Download

Modes of Training

Akswave_classroom

Classroom Training

Lives interactive sessions delivered in our classroom by our expert trainers with real-time scenarios.

Akswave_Online

Online Training

Learn from anywhere over internet, joining the live sessions delivered by our expert trainers.

Akswave_Selfpaced

Self-Pace Training

Learn through pre-recorded video sessions delivered by experts with your own pace and timings

For Coporate Training, We provide customized content and delivered by industry experts with complete practical demonstration, discussions and exercises based on practical use cases.

Contact Us

Our Key Highlights

Unique Benefits included in this training

  • BEST TRAINER : Having 12 yrs exp and delivered more than 80 batches
  • QUALITY CONTENT : Covers in-depth and industry-relevant advance topics.
  • LAB ACCESS : Practice hands-on with dedicated online servers, anytime, anywhere.
  • BEST PRICE : Best value training at a competitive price.
  • SESSION RECORDINGS : Access to session recordings for easy revision.
  • REAL-TIME SCENARIOS : Learn through practical scenarios and live projects.
Key Benefits

Upcoming Batches

CLASSROOM TRAINING

This Course Includes:
  • Delivered by our experts having 20+ yrs exp
  • 13 Live classroom sessions
  • Reading material and Lab activity guide
  • One-to-one dedicated server access 
  • 30 Hrs of Lab practices
  • 100% practical-oriented classes
  • Real-time projects and certification guidance
  • Get certificate on course completion
  • Job assistance
  • Certified technical assistance
04-Nov

8:30am to 10:00am IST

60 Days (Mon-Fri)

07-Nov

8:30am to 10:00am IST

60 Days (Mon-Fri)

Not yet scheduled

Not yet scheduled

Not yet scheduled

Course Fee : ₹ 35,000/-

Discount : ₹ 13,000/- (37%)

Offer Price : ₹22,000/-

ONLINE TRAINING

This Course Includes:
  • Delivered by our experts having 20+ yrs exp
  • 13 Virtual online sessions
  • Access for 20 Hrs of Recorded videos
  • Reading material and Lab activity guide
  • 24x7 dedicated online AksWave server access
  • 30 Hrs of Lab practices
  • 100% practical-oriented classes
  • Real-time projects and certification guidance
  • Get certificate on course completion
  • Job assistance
  • Technical support thru chat and email
04-Nov

7:00pm to 8:30am IST

60 Days (Mon-Fri)

07-Nov

7:00pm to 8:30am IST

60 Days (Mon-Fri)

Not yet scheduled

Not yet scheduled

Not yet scheduled

Course Fee : ₹ 40,000/-

Discount : ₹ 15,000/- (38%)

Offer Price : ₹25,000/- $282

SELF-PACED LEARNING

This Course Includes:
  • Access for 20 Hrs of Recorded videos
  • Reading material and Lab activity guide
  • 24x7 dedicate online AksWave server access
  • 30 Hrs of Lab practices
  • Real-time projects and certification guidance
  • Technical support thru chat and email

₹18,000/-

Our Instructor

Surya Kumar

Surya Kumar

Data Science Professiona

  • 4.8 Instructor Rating
  • 1,540 Reviews

Senior AI Engineer | Agentic & Generative AI | AWS Cloud | PMP Certified

With 12 years of industry experience, I specialize in deploying AI-powered solutions at scale, driving digital transformation for diverse organizations. My core expertise spans large language models (LLMs), advanced machine learning pipelines, retrieval-augmented generation (RAG), and AI-driven feature engineering.

I bring hands-on experience with full-stack solution development, cloud-native AI deployments on AWS, and proven cross-functional delivery in both startup and enterprise settings. My project portfolio includes designing and implementing state-of-the-art generative AI applications, optimizing ML workflows for production, and leading teams in complex, agentic AI integrations.

As a certified Project Management Professional (PMP), I ensure technical excellence and timely project execution. My training approach blends deep technical knowledge with practical, real-world application—empowering teams to deliver robust and innovative AI systems.

Key Skills:

  • Generative AI & LLMs (OpenAI, HuggingFace, RAG)
  • ML Pipeline Design & Feature Engineering
  • Cloud Deployment (AWS EC2, SageMaker, Lambda, API Gateway)
  • Full-stack Application Development (Python, JavaScript, REST APIs)
  • Project Leadership (Agile, Cross-functional Teams, PMP Certified)
  • AI Solution Architecture & Productionization
  • Technical Training & Mentorship

Demo Video

No Video Found

No Demo Video

Certification Guidence

No Records Found

Faq

Each of our live sessions are recorded. In case if you miss any, you can request us to share the link of that particular session.

Once you get registered, our back-end team will share you the details to join the session live over online portal which can be accessed through a browser.

For practical execution, our trainer/technical team will provide server access details to the student.

Yes. We do provide the step-by-step document which you can follow and if required our technical team will assist you.

Live-Online training is where you can have live session with the trainer and clarify queries parallely.

Pre-recorded sessions are the recorded videos that will be provided to you that you can see, listen and learn anytime at ur feasible place. For doubts in the videos you can mail the trainer regarding the same.

You can contact our support team, or just drop an email to online@akswave-trainings.com with your queries.

The course material and recorded videos which are provided during the course period. You can download it anytime.

Visit our website regularly to check discount offers time to time. However, we provide discount for single participant & special discount for 2 or more participants.

* If request for cancellation is made within 2 days of enrolment for class, 100% refunded.

* If request made after 2 days, then Refund is made after deduction of administration fee.

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Testimonials

Manoj Kumar
4 years ago

I recently took Oracle RAC training from Akswave. Akal Sir is one of the best teacher for Oracle RAC. I learned lot of concepts, understood well and he cleared many of my doubts too. His explanation and presentation is better and easy to understand. About online Lab environment its good and the Co-ordinators are very helpful in clearing my doubts. I personally enjoyed and learned many new things in AKSWAVE.

Ravi Krishna
4 years ago

I have taken classes from Akswave Oracle Training and I gained excellent knowledge in Oracle DBA , Oracle RAC and APPs from there. I recommend people who wants better future in Oracle DBA, join Akswave. Lets see when the GoldenGate classroom training will start, I like to join.

Azjad Hussain
4 years ago

Akswave Oracle Training is one of the best institute in Ameerpet, comparing to other institutes in terms of Lab Infrastructure , helping nature faculties and the amazing skilled Mr Akal singh. Now waiting for cloud training to be started.

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