From Beginner to Advanced in Cloud-Based AI & Machine Learning
An actionable, industry-aligned roadmap engineered for career transformation.
Compressed learning cycle for maximum retention and skill acquisition.
Go beyond theory with live coding sessions and real-world datasets.
Build a professional portfolio that stands out to top-tier recruiters.
Industry-recognized credentials to validate your Core expertise.
Introduction to AI
ML types
and Data Preprocessing techniques
Timeline
Ability to clean and prepare data for modeling
Hands-on exploration of SageMaker Canvas for No-Code model creation
Timeline
Build classification and regression models in the cloud
Deep dive into Accuracy
Precision
Recall
and Confusion Matrices
Timeline
Optimize models for real-world performance
Real-time vs Batch prediction implementation and business integration
Timeline
Deploy functional ML models into production
End-to-end design
optimization
and presentation of a business solution
Timeline
Complete industry-grade portfolio piece
Master the essential technologies powering modern AI systems through hands-on application.
Real challenges. Real solutions. Your portfolio will feature these production-grade applications.
Predict user actions using machine learning models to support business decision-making.
Learn More arrow_forwardIdentify suspicious transactions using classification techniques on financial datasets.
Learn More arrow_forwardVisualize model predictions and generate actionable insights.
Learn More arrow_forwardDevelop intelligent solutions for business and operational use cases.
Learn More arrow_forwardHow this internship transforms your professional profile.
| Skill Category | Before Pantech | After Internship |
|---|---|---|
| Skill Set | Theoretical knowledge of AI/ML concepts. |
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Practical expertise in AWS SageMaker & Cloud Deployment.
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| Portfolio | Generic academic projects. |
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Live industrial projects like Fraud Detection & Churn Prediction.
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| Technology Stack | Basic programming understanding. |
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Mastery of No-Code/Low-Code ML and Cloud Infrastructure.
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A step-by-step roadmap designed to guide you from foundational concepts to professional deployment.
Begin your journey with AI, ML concepts, and data understanding.
1Learn to build classification and regression models using SageMaker Canvas.
2Apply your skills using cloud tools and real-world datasets.
3Version control with Git, project presentation, and career guidance.
4Our structured approach ensures you move from theory to practical mastery.
Apply skills to real-world ML problems using cloud-based tools.
Earn industry-recognized credentials in ML and Cloud AI.
Direct guidance from professionals with practical industrial experience.
Trusted by 1,000+ Learners
"The AWS SageMaker Canvas module was a game changer for my understanding of how ML works in production."
Data Analyst Intern @ Tech Solutions Inc.
"Building the Fraud Detection system during the internship helped me crack my technical interview."
Junior ML Engineer @ Global Finance Corp
"The transition from theory to the AWS ecosystem was seamless. The hands-on sessions on S3 and SageMaker Studio are top-notch."
AI Research Associate @ Innovate AI
"The dual certification and industrial exposure gave me a significant edge over other applicants during placement season."
Cloud Solutions Architect @ CloudStream Systems
"I highly recommend this for anyone looking to master no-code ML. The real-world datasets used were extremely challenging and rewarding."
Data Scientist @ DataDynamics
Validate your skills with a certificate that carries weight. Our credentials are recognized by leading tech firms across the country.
Unique QR code for instant digital verification
LinkedIn-ready digital credential
Increases visibility in recruiter searches
Official seal from Pantech Solutions
Status
Verified Intern
The certificate acknowledges the learner’s participation in structured training, industry‑oriented project development, and practical implementation under professional guidance.
This is to certify that the learner has successfully completed the Certification Program with Pantech. This professional certification formally recognizes the learner’s achievement, confirming their participation in structured training, guided project work, and practical implementation during the program.
A prestigious joint certification from SVNIT and Pantech. Note: Need to pay extra Rs.500 for service charges.
Select the program that matches your career goals and current expertise level.
1 Month - Rs. 999 + GST
Perfect for beginners. Master the core fundamentals and build your first industry-standard projects.
2 Month - Rs. 1899 + GST
For those with basic knowledge. Deep dive into advanced architectures and professional workflows.
3 Month - Rs. 2499 + GST
Designed for final year students and professionals. Focus on deployment, scaling, and leadership.
Our alumni are driving innovation at the world's most prestigious technology and consulting firms.
Start your journey with us
Limited seats available for the upcoming cohort. Reserve your spot and get immediate access to pre-internship materials.
Lifetime access to student community
Weekly assignments & code reviews
Digital + Hardcopy Certificate
- Email Us
training@pantechelearning.com
- Call Us
+91 98409 74407 | +91 95661 33338
Everything you need to know about the AI Internship program.
Yes, the program covers ML fundamentals before moving to advanced AWS SageMaker concepts.
Yes, you receive lifetime access to 30+ records of high-value content and project files.
You can choose between Offline, Live Online sessions, or Recorded sessions.