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Course Unique Benefits
Learn by Doing—Real Projects, Real Teams, Real Deadlines
Job Guarantee or 100% Money Back
Our grads report an average salary increase — and we back it with our 100% money-back guarantee.
No Tech Background? No Problem
You don’t need an IT or STEM degree to break into tech. We start from the ground up.
Tech Residency: On-the-Job Experience
Work in a real-world tech environment during your training. Like a paid internship, but built into your learning.
Graduates Hired, Salaries Doubled, Future Rewritten
Rated 4.8/5 by Over 1,000 Learners
You’ll be Joining a Proven Program Trusted by Career Switchers and Early Professionals Alike.
Disclaimer Note
Get a relevant job in 10 months or your tuition back when you complete our included career services package and make a good faith effort to find a job. Details in Terms of Use
A Day in the Life of a AI/ML in the Tech Industry
8:30 AM – Start the Day
- Check emails & Slack: Look for updates from product managers, teammates, or bug reports from QA.
- Review model monitoring dashboards: Check for performance drifts, failed jobs, or data anomalies in production models.
9:00 AM – Team Stand-up
- Daily sync with Data Scientists, Engineers, Product Managers
- Share updates: e.g., “Training a new model on customer churn using XGBoost”
- Discuss blockers: e.g., waiting on labeled data or API fixes
9:30 AM – Experimentation Time
- Pull fresh training data from a data lake (via SQL, Pandas, or Snowflake)
- Clean and transform datasets (feature engineering)
- Test new ML algorithms or architectures (e.g., switching from logistic regression to a LightGBM model)
- Log results with MLFlow or Weights & Biases
12:00 PM – Lunch + Tech Talk
- Join a company lunch-n-learn or webinar on LLMs, MLOps, or explainable AI
- Casual Slack chat about AI news (e.g., new OpenAI or HuggingFace model releases)
1:00 PM – Model Training / Tuning
- Hyperparameter tuning using GridSearch or Optuna
- Use GPUs or cloud compute (e.g., AWS Sagemaker or Google Colab)
- Monitor training time, accuracy, F1 score, and overfitting
- Version models for reproducibility
3:00 PM – Model Deployment
- Wrap model in a Flask/FastAPI app
- Test endpoints locally or via Postman
- Deploy to production using Docker/Kubernetes or CI/CD pipeline
- Push to cloud (AWS Lambda, S3, or ECS)
4:30 PM – Reporting / Documentation
- Update internal dashboards with model metrics
- Write a short doc for stakeholders explaining what changed and why
- Share insights or charts with the product team
5:30 PM – Wrap-Up
- Final checks on model performance in production
- Log day’s work in Jira/Asana/Notion
- Prep a note for tomorrow: next experiment or meeting with business team
Common Tools
- Languages: Python, SQL
- Libraries: Scikit-learn, TensorFlow, PyTorch, XGBoost, Pandas
- Platforms: Jupyter, AWS Sagemaker, GitHub, Docker, MLFlow
- Collaboration: Slack, Zoom, Notion, Jira
Ready to Change Your Future?
Apply For Our Next AI/ML Bootcamp Cohort Today.
Flexible Learning Built Around Your Schedule.
Full Time
- 3 months
- 40-50 hours/week
- Structured learning with daily live sessions
- Learning and career support
- Career prep starts day 1
- Fixed full time schedule with two live Lectures daily
Part Time
- 20-25 hours/week
- Flexible schedule to fit your life
- Learning and career support
- Weekly live sessions and regular office hours
See List Of Companies Who Hire Our Professionals
Book a Call With an Advisor by June 21st to Take 25% Off Your Tuition!
Learn Directly From the Pros, Build Projects, Get Feedback With Regular 1-on-1 Sessions, Daily Office Hours
Backed by Experience: Our Tutors Have 5+ Years in Their Field and Mentorship Training From Techiaversity
Get Real Experience with Our Tech Residency
Work on real projects with real deadlines — while you train. Our built-in Tech Residency gives you practical, resume-ready experience — the kind employers look for.
With Tech Residency, you’ll step into a real work environment and build a portfolio that proves you’re job-ready.
Get the Job with Expert Career Coaching and AI Tools
Finding a AI/ML job is much easier with professional help. Prep for interviews with someone who knows the point of every question. Perfect your resume with someone who’s seen thousands.We don’t just teach you tech. We teach you how to get hired.
Get the Job with Expert Career Coaching and AI Tools
Finding a AI/ML job is much easier with professional help. Prep for interviews with someone who knows the point of every question. Perfect your resume with someone who’s seen thousands.We don’t just teach you tech. We teach you how to get hired.
Career Support That Doesn’t Stop After Graduation
Your journey doesn’t end on graduation day. We offer:
- Personalized job search prep and guidance
- One-on-one career coaching
- Lifetime access to career support and alumni resources
- You’ll have a team behind you now — and years from now, whenever you need it.
Certificate of Completion
You’ll earn a professional certificate upon completing the program. It’s a powerful addition to your resume, LinkedIn profile, and job applications—showcasing your skills and commitment to employers.
Free Bonus Courses For New Students
Computer Literacy for Beginners
“Not a Tech Person?” That’s Okay. We’ll Get You Ready.
Start with our Computer Literacy Prep Course—perfect for beginners.
Learn how to use a computer, browser, and industry-standard tools like Google Workspace, Zoom, and GitHub.
AI Resume Builder Tool Access
Instantly optimize your resume using AI tools tailored for developer roles.
Build Your Personal Brand in Tech
Learn how to grow on LinkedIn, speak at meetups, or write tech blogs—free for enrolled students.
Community Access (Alumni + Mentors)
Lifetime access to our private Discord/Slack channel where hiring referrals and project opportunities are shared.
The Most Affordable Way Into Tech–Only at Techiaversity
Upfront Payment (Best Price)
- $1,999, ($3999)
- Save up to $2000
We offer a great deal across all our bootcamps when you pay upfront. There’s no risk—you can withdraw with a 100% refund in your first 2 weeks.
Techiaversity Installments
- $2,599, $3999
- Save upto $1400
$600 deposit, preapproved—no credit check req’d, 0% interest! Multiple installment options available. Book a call to learn more!
Tuition Financing
- Learn now, pay later
- $3,999, $6999
Work with one of our financing partners to finance your new career move! Credit check req’d.
Money Back Guarantee
We Believe You’ll Land a Tech Job in 10 Months. In Fact, We Put Money On It
- Graduate from the program and complete all included career prep and coaching activities
- Actively apply to relevant jobs and maintain communication with your career coach
- No job within 300 days? We’ll refund 100% of your tuition
We Succeed Only When You Do
Join Risk-Free. Start Learning. Launch Your Tech Career.
We Also Have a Fair Refund Policy
After starting our AI/ML bootcamp, you have 2 weeks to withdraw with a 100% refund. After that, you can get a partial refund on a transparent schedule. Check our Terms of Use for more info.
FAQs
🎓 But Will I Actually Get a Job?
Our grads have landed jobs at companies like Adobe and Linkedin. You’ll leave with real projects, interview prep, and career support.
💸 Worried About Wasting Money?
Try the first 2 weeks risk-free. If it’s not a fit, we’ll refund you—no questions asked.
🧠 Not Sure You Can Do It?
We teach from zero, and you’ll get a dedicated mentor and weekly check-ins to stay on track—even if you’ve never written a line of code.
⏰ Too Busy?
Designed for busy people—just 6–8 hours/week. Miss a session? Everything’s recorded.
🤔 Is This Boot Camp Legit?
We’re run by experienced software engineers with 10+ years in the field. You can view our curriculum, instructors, and even sit in on a free live session.
AI/ML Bootcamp Curriculum (12–16 Weeks)
Course Content
Total learning: 53 lessons
Time: 12 weeks
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Module 0: Foundations (Prework / Week 0)
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Module 1: Data Science Essentials (Week 1–2)
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Module 2: Core Machine Learning (Week 3–5)
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Module 3: Advanced ML & Deployment (Week 6–7)
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Module 4: Deep Learning (Week 8–10)
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Module 5: NLP & Generative AI (Week 11–12)
- Text preprocessing (tokenization, embeddings)
- NLP with spaCy and HuggingFace Transformers
- Sentiment analysis, Named Entity Recognition
- Intro to LLMs and Prompt Engineering
- ChatGPT API & LangChain basics
- AI Ethics and Responsible AI
- ML in Production / MLOps Intro (MLflow, DVC)
- Milestone: NLP or chatbot mini-project using transformers
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Module 6: Capstone Project & Career Prep (Week 13–16)
- Capstone: Solve a real-world AI/ML problem (e.g., computer vision, NLP, predictive modeling)
- Domain-specific ML (Healthcare, Finance, Retail)
- Resume, GitHub, and LinkedIn optimization
- Mock interviews (technical + behavioral)
- Portfolio finalization and presentation
- Milestone: Capstone demo + job-ready AI portfolio
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Tools Covered:
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Career Prep (Ongoing Throughout Program)
Instructor
Register for a Demo
Register for a demo to speak with instructor, understand course highlight and ask any questions