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Business Web Solutions
Estd. 2018

Category

Live Mentorship Track

AI & Machine Learning Program - LIVE

An Intensive Mentor-Led Structured Program with AI Deployments in Real-Life

Master enterprise AI architecture, train custom models, and deploy live production systems.

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Program Overview

AI and ML Internship BWS jpeg

Alongside our enterprise technology services, we offer a rigorous AI & Machine Learning live track designed to provide hands-on experience in building intelligent, data-driven systems. This advanced mentor-led program is ideal for developers and professionals looking to architect and deploy modern AI technologies within real-world production environments.

Participants engage in intensive, mentor-led learning covering advanced data architecture, model development, and automation using commercial-grade datasets and frameworks. The curriculum gradually increases in complexity, helping learners develop the analytical thinking, rapid problem-solving abilities, and core technical skills required to lead enterprise AI teams.

By the end of this 16-week program, participants will engineer and deploy a production-ready capstone project that showcases their practical expertise with AI systems. Graduates leave with a highly technical portfolio, verifiable credentials, and the exact commercial skills needed to secure high-paying machine learning roles.

Key Engineering Highlights

Live Code Reviews

Weekly tear-downs of your architecture and code by senior engineers, ensuring your work meets production-level industry standards.

Real-World Deployment

Don't just build machine learning models in local notebooks. Learn to containerize and deploy your AI applications directly to the cloud.

Strict Micro-Cohorts

Classes are strictly capped at 20 students per Superclass (or 1:1 in Masterclass) to guarantee personalized mentor attention and unblocked progress.

Commercial Capstone

Build a custom, end-to-end AI portfolio project tailored specifically to your industry, acting as undeniable proof of your technical competence.

100% Live Instruction

Zero pre-recorded videos. Engage in 48 hours of highly interactive, real-time problem-solving sessions driven by active coding.

Verified Certification

Earn a verifiable credential based strictly on the successful deployment of your final AI architecture, not just passive attendance.

The 4-Month Mentorship Roadmap

Curriculum & Tech Stack (48 Sessions)

Month 1
Sessions 1-12
Data Architecture & Foundations
  • Advanced Python, Pandas, and NumPy for Data Engineering.

  • Exploratory Data Analysis (EDA) and Statistical Modeling.

Month 2
Sessions 13-24
Applied Machine Learning
  • Supervised & Unsupervised Learning Architectures.
  • Feature Engineering, Dimensionality Reduction, and Model Optimization using Scikit-Learn.
Month 3
Sessions 25-36
Deep Learning, NLP & LLMs
  • Neural Network Fundamentals and Pre-trained Architectures.
  • Natural Language Processing (NLP) using HuggingFace and OpenAI APIs.

Month 4
Sessions 37-48
MLOps & Production
  • Model Evaluation, Accuracy Benchmarking, and Fine-Tuning.
  • Containerization, API Development, and deploying models to cloud infrastructure.

Production Portfolio & Capstones

Build and deploy a verifiable portfolio of commercial-grade AI applications. Stop doing theoretical practice exercises and start engineering real systems

Commercial Capstones

  • End-to-End ML Web Application
  • AI Sentiment Engine with Live APIs
  • Cloud-Deployed Recommendation System

Advanced Architectures

  • Custom NLP Chatbot System
  • Dynamic Jupyter Data Dashboards
  • RAG (Retrieval-Augmented Generation) Implementation

Core Component Builds

  • Automated Data Cleaning Pipelines
  • Feature Selection & Dimensionality Reduction
  • Accuracy Benchmarking & Model Evaluation
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Worldwide Alumni Network

From learning to real-world engineering

Michelle Geoffray
Michelle GeoffraySeattle, United States
Read More
Completed: Jan 2026
Duration: 3 Months
Web Programming & Design Graduate with a minor in CS from Purdue University
Qudus Alli
Qudus AlliNigeria
Read More
Completed: Feb 2026
Duration: 6 Months
Content Strategist | UX Copywriter | Web Content Manager
Natassia Lowe
Natassia LoweUnited States
Read More
Completed: Dec 2025
Duration: 4 Months
ELDP Associate @ Legrand, North America
Ahmed Al-Shantti
Ahmed Al-ShanttiCairo, Egypt
Read More
Completed: Sep 2025
Duration: 5 Months
Front end Developer (React & Next js)
Neeti Bhatia
Neeti BhatiaBoston, MA, USA
Read More
Completed: Jul 2022
Duration: 3 Months
Brand & Creative Strategist
Noel Chrisdian
Noel ChrisdianCentral Java, Indonesia
Read More
Completed: Oct 2025
Duration: 5 Months
Backend Developer Intern at ZettaByte Pte Ltd | ML
Deepthi Mohanlal
Deepthi MohanlalTexas, United States
Read More
Completed: Feb 2024
Duration: 3 Months
Texas A&M University-Corpus Christi
Kashmira Dighe
Kashmira DigheUnited Kingdom
Read More
Completed: Oct 2022
Duration: 2 Months
Software Engineer, Cloud & DevOps Engineer
Malgorzata Mika
Malgorzata MikaSydney, NSW, Australia
Read More
Completed: May 2025
Duration: 3 Months
ICT Operations Specialist
Cyrus Liu
Cyrus LiuCA, United States
Read More
Completed: Nov 2025
Duration: 4 Months
Software Engineer at VISA
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The Market Demand for AI Engineers

Why developers and enterprises are aggressively pivoting to AI architectures.

  • Enterprise Adoption is Mandatory: AI is no longer experimental. Sectors across IT, finance, and healthcare are actively replacing legacy software with automated, AI-driven decision pipelines.

  • From Coder to Architect: Basic programming is becoming commoditized. Developers who can integrate AI models, build RAG systems, and deploy NLP solutions command the highest market premiums.

  • Solving Complex Bottlenecks: Master the exact architectures required to turn massive, unstructured enterprise data into intelligent, predictive engines.

  • High-Yield Trajectory: Direct preparation for the industry’s most lucrative roles, including Machine Learning Engineer, NLP Architect, and AI Solutions Consultant.

  • Future-Proofing Your Skillset: Machine learning forms the bedrock of the next decade of software engineering. Professionals without AI integration skills will rapidly become obsolete.

  • Commercial Portfolio Value: You aren’t just learning theory; you are building the exact production deployments that global recruiters, FAANG companies, and funded startups are desperately searching for.

Enrollment Prerequisites

This is a rigorous, fast-paced engineering track. Please review the technical and time commitments before securing your spot.

Technical Prerequisites

  • Basic understanding of programming logic (variables, loops, conditional statements).

  • Familiarity with Python syntax is highly recommended, though rapid foundational catch-up material is provided.

  • Comfortable with basic, high-school-level mathematics (Algebra, Probability, Statistics).

  • A logical, problem-solving mindset ready to tackle complex system architectures.

Hardware & Commitment

  • Ability to commit 8 to 10 hours per week (includes live sessions plus independent portfolio building).

  • A modern desktop or laptop (macOS, Windows, or Linux) capable of running local code editors and local data servers.

  • Reliable, high-speed broadband internet for uninterrupted live video interactions and code sharing.

  • Professional working proficiency in English.

Ideal Candidates

  • Software Developers: Looking to transition out of standard web development and into high-paying AI/ML architectures.

  • Data Professionals: Analysts seeking to upgrade their skill sets to include predictive modeling, deep learning, and LLMs.

  • Founders & Tech Leads: Wanting to integrate commercial AI pipelines directly into their existing enterprise products.

  • Ambitious Career Switchers: Highly motivated professionals ready for a rigorous, high-yield technical pivot.

Industry-Recognized Certification

Verifiable documentation to strengthen your professional portfolio and corporate resume.

BWS SAMPLE CERTIFICATE Business Web Solutions scaled
*Specimen only. Actual certificate will be customized per candidate.
STATUS: ENROLLMENT OPEN (FOUNDER'S COHORT)

Next Cohort Starts: November 2, 2026 (Mon)

4 Months (16 Weeks) | 3 Sessions/Week (Mon-Wed-Fri) 60 min each | Total 48 Sessions

Global Time Zones Accommodated (13 Slots, between 9AM to 9PM)

Select Your Mentorship Track

1: Many SUPERCLASS

Cohort Size: Min 1 to Max 20 Allowed
$399
$ 199 Flat One-Time (No Monthly Commitments)
  • 16-Weeks Live Mentor-Led Program
  • 48 Sessions | Mon-Wed-Fri | 60-Min each
  • Max. 20 Candidates/Cohort
  • 100% Live (Zero Pre-Recorded Video)
  • Covering Global Time-Zones
  • Real-Life Projects and Code Reviews
  • Certificate of Completion
  • On-Demand Resource Vault Access
POPULAR

1:1 MASTERCLASS

Private & Intensive
$1999
$ 999 Flat One-Time Fee (No Monthly Commitments)
  • Everything in 1:Many SUPERCLASS
  • 2-Weeks Personalized Accelerator
  • 1:1 Private Mentor Sessions
  • Personalized Code Review & Architecture
  • Build your CUSTOM Portfolio Project
  • Job Prep & Career Strategy
  • Direct Mentor Access & Support
  • Priority Support & Extended Certification
*Pricing is subject to increase at any time. Enroll today to guarantee your current fee is 100% locked in.

Compare Us vs Industry Standard Pricing

Company / ProviderDuration & Classes per WeekFees (Upfront / Total Cost)Key Features & Financing Details
Business Web Solutions 16 Weeks (48 Sessions)
Mon-Wed-Fri
$399 (1:Many Superclass)
$1999 (1:1 Masterclass)
100% Live Mentorship | Strict 20-participant cap | Zero debt or Income Share Agreements (ISAs) | AI-integrated curriculum.
Scaler Academy9 to 13 Months₹3,50,000 - ₹4,00,000 (~$4,200 - $4,800)EMI plans starting at ~₹9,800/month. Massive group sizes
Masai School30 Weeks₹0 upfront, but ₹2.5L to ₹4.5L post-placementIncome Share Agreement (ISA): requires signing over a percentage of your future salary for 36 months.
General Assembly12 Weeks (Full-Time) to 32 Weeks (Part-Time$16,450Traditional model reliant on 2-4 deferred installments or 36-month retail student loans (e.g., Climb Credit).
Le Wagon9 Weeks (Full-Time) or 24 Weeks (Part-Time)€8,000 (Approx. $8,900 USD)Requires a €2,000 deposit and locks students into 3 to 6-month payment plans via third-party processors
App Academy24 Weeks (Online)$20,000Income Share Agreement (ISA) demands 15% of your future salary for 3 years, capping at $31,000.
Springboard6 to 9 Months (Part-Time)$9,900Uses a deferred payment model requiring a deposit followed by fixed payments after securing a job.
BrainStation12 Weeks (Full-Time) or 6 Months (Part-Time)$14,000 - $15,000 CAD (Approx. $10,500 USD)Financed via 12-month installments or third-party student loans
Disclaimer: Information is sourced from publicly available data and official websites as of September 2026. Terms and prices are subject to change. All trademarks and brand names belong to their respective owners.

ENROLLMENT FORM

Note: When you select your slot time, it will be auto converted as per your Local Time Zone.

Note: *Your name will appear on your Certificate, so spellings & format must be correct.

The schedule will appear here in your local time-zone.
FAQs
Frequently Asked Questions

Simply fill out the application form on this page. Once your details are submitted, you will be securely redirected to complete your one-time fee payment and lock in your slot for the upcoming cohort.

Our engineering tracks are 100% live and mentor-led. We do not sell pre-recorded video tutorials. You will participate in intensive, real-time sessions with senior developers.

We offer maximum flexibility for international professionals by running 13 distinct cohort slots between 9:00 AM and 9:00 PM. During the application process, our system will automatically convert and display these available slots in your local time zone, allowing you to easily choose the exact schedule that best fits your workday.

You will never be left on your own. You have direct access to mentor support. Superclass students utilize our dedicated community channels, while Masterclass students receive 1:1 private code reviews and debugging sessions.

While specific tech prerequisites vary slightly by program, every track requires a working PC/Mac, a stable internet connection, and a serious commitment to meeting our rigorous engineering standards.

You receive lifetime access to all session notes, project repositories, reference materials, and alumni community channels associated with your track.

You will build enterprise-grade, commercial-level applications from scratch. We bypass basic tutorials to focus on real-world architecture, ensuring you graduate with a production-ready portfolio.

Yes. Every graduate receives a globally verifiable credential with a unique tracking ID. This can be directly integrated into your LinkedIn profile for easy employer verification.

Yes. We provide comprehensive career strategy, resume building, and job prep. Masterclass students also receive personalized mock interviews and deep-dive portfolio reviews to ensure they stand out to recruiters.

Exceptional graduates who demonstrate outstanding technical proficiency and perfect attendance during their cohort may earn a personalized Letter of Recommendation from our senior engineers.

Absolutely not. BWS operates on a straightforward, flat-fee model. We will never demand a percentage of your future salary or lock you into predatory debt contracts.

Yes. Upon enrollment, an official corporate invoice is automatically generated. You can submit this receipt directly to your company's HR or Learning & Development department for standard corporate reimbursement.