How do I enroll in the program?

Fill out the enrollment form with your basic details (name, email, phone, student/working status, college/company, branch/role, year/experience, and referral source). After review, you’ll receive your offer letter on the same day.

What happens after enrollment?

You will receive two Emails: Acknowledgement Email: Sent the same day (or next morning if late-night submission). Welcome Email: On your program start date (around 10:00 AM EST), you’ll get login credentials and instructions. For assistance, contact hr@businesswebsolutions.us or +1 (540) 405-4686 (call/WhatsApp).

Will I get support if I get stuck in coding?

Yes. Our AI assistant “Andie” (24×7) is integrated into every module to help with coding issues, debugging, and project guidance. Mentors are also available for additional support when required.

What kind of projects will I get?

You’ll work on 20+ projects (minor, major, and practice) covering real-world scenarios. Projects are evaluated by our USA team, and top performers may get priority for paid/live projects based on availability.

What are the timings and mode of work?

The opportunity is completely flexible and remote. You can complete modules anytime according to your schedule, making it suitable for both students and working professionals.

How long will I have access to the training materials?

You’ll have lifetime access to all training content and resources (unless new policy changes are announced).

Will I get a certificate?

Yes. A digital certificate is auto-scheduled and sent to your registered email on your program completion date. (Allow 24–48 hrs extra during weekends/holidays.)

AI & Machine Learning Program - LIVE

An Intensive 48 Live Sessions Structured Program with AI Deployments in Real-Life

16 Interactive Weeks (4 Months) • Production Capstone Architecture • Direct Code Reviews

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Hours

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Program Overview

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 4-month 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 Engineering 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

Worldwide Alumni Network

From learning to real-world engineering

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

*All graduates receive a globally verifiable credential with a unique ID for LinkedIn integration and employer verification.

Developer Reviews

"What professionals say about BWS engineering tracks."

"During the program, I learned exactly how to build and deploy a complete system from scratch, including all the steps required for end-to-end architecture."

"This program transformed me into a production-ready developer. I would also like to thank David Miller, Deshraj Goenka, and Lisa Hoffman for guiding and helping me throughout the program."

"I am glad to share that I have successfully completed my engineering track at Business Web Solutions. I would like to thank David Miller and Lisa Hoffman for guiding and helping me."

"It was such a pleasure to train with BWS. I would like to thank Deshraj Goenka, and Lisa Hoffman for guiding and helping me throughout this program."

"I am glad to share that my engineering track at Business Web Solutions is now complete. It was a very good learning experience for me to be part of Business Web Solutions."

"Completed my advanced engineering track with Business Web Solutions. It was such a pleasure to work with them. Special thanks to my mentors Kalob Taulien and David Miller, under the guidance of Deshraj Goenka."

Meet Our Global Alumni

Cohort Status: Active Enrollment Open

Next Cohort Starts: November 2, 2026 (Mon)

Cohort Frequency: Monthly Intake (Capped at 20 Participants)

Early onboarding kits and reading prep issued upon registration

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

Select Your Engineering Tier

$999

$ 399 Flat One-Time (No Monthly Commitments)

16-Weeks Live Mentor-Led Program
48 Sessions | Mon-Wed-Fri | 60-Min each
Max. 20 Students/Cohort
100% Live (Zero Pre-Recorded Video)
Covering Global Time-Zones
Real-Life Projects and Code Reviews
Certificate of Completion
Discord Community Support

POPULAR

$2999

$ 1999 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 / Provider	Duration & Classes per Week	Fees (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-student cap \| Zero debt or Income Share Agreements \| AI-integrated curriculum.
Scaler Academy	9 to 13 Months	₹3,50,000 - ₹4,00,000 (~$4,200 - $4,800)	EMI plans starting at ~₹9,800/month. Massive group sizes
Masai School	30 Weeks	₹0 upfront, but ₹2.5L to ₹4.5L post-placement	Income Share Agreement (ISA): requires signing over a percentage of your future salary for 36 months.
General Assembly	12 Weeks (Full-Time) to 32 Weeks (Part-Time	$16,450	Traditional model reliant on 2-4 deferred installments or 36-month retail student loans (e.g., Climb Credit).
Le Wagon	9 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 Academy	24 Weeks (Online)	$20,000	Income Share Agreement (ISA) demands 15% of your future salary for 3 years, capping at $31,000.
Springboard	6 to 9 Months (Part-Time)	$9,900	Uses a deferred payment model requiring a deposit followed by fixed payments after securing a job.
BrainStation	12 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 batch time, it will be auto converted as per your Local Time Zone.

First Name *

*This will appear on your Certificate.

Last Name *

In case of No Sirname, put a dot [.] in the Last Name field

Email *

*Should be an active email id.

Phone

*If this field doesn't work, kindly leave it.

Current Professional Status *

LinkedIn Profile URL

Share your profile to help our mentors tailor your career strategy.

Country *

Select Your Program Tier

Available Slots (IST)

The schedule will appear here in your local time-zone.

Primary Goal for Enrolling *

How did you hear about us?

Disclaimer *

I have read and accept all policies of Business Web Solutions.

FAQs

Frequently Asked Questions

1) How do I enroll in a track?

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.

2) How is the training delivered?

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.

3) How do you accommodate global time zones?

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.

4) What happens if I get stuck while coding?

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.

5) What are the requirements to join?

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.

6) How long do I have access to the materials?

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

7) What kind of projects will I build?

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.

8) Will I receive a certificate upon completion?

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.

9) Do you provide job placement assistance?

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.

10) Do you provide a Letter of Recommendation (LOR)?

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

11) Do I need to sign an Income Share Agreement (ISA)?

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.

12) Can my employer sponsor or reimburse this training?

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.