A future-proof program focused on mastering tech through AI. Designed for:
- Beginners, professionals & career switchers
- Hands-on learners
- Job-ready outcomes
Skill Mapping + Personalized Plan
Core Tech Training
Advanced AI Tools + Real Projects
Internship + Career Portfolio
Course: 1-Year Framework
Core Foundation
This initial phase focuses on building essential cognitive and communication skills, along with fundamental technical knowledge.
AI Fundamentals (Ongoing – From Month 1)
This phase delves into the core concepts of Artificial Intelligence and Automation.
AI & Automation Training
Time Commitment: 30 Hours/Week
Topics Include:
Machine Learning (ML): Principles and applications of ML.
Deep Learning (DL): Understanding neural networks and advanced AI.
Generative AI (GenAI): Exploring models for creating new content.
Latest AI Tools & Trends: Staying current with industry advancements.
QA Automation: Automating quality assurance processes.
Ethics & Safety in AI: Responsible development and deployment of AI.
Cybersecurity Principles
Mobile App Basics
Design Patterns
DevOps & Infrastructure
Introduction to Libraries and Frameworks
Edge Computing
Digital Twins
Quantum Computing
Note: AI training will transition to a project-based approach from Month 3 onward.
Technical Specialization using AI (From Week 9)
This phase integrates technical programming skills with AI applications through practical, hands-on learning.
Technical Learning (Integrated with AI)
Focus Areas:
Python Programming: In-depth learning of a key AI language.
Java Programming: Foundational programming skills.
Data Engineering Basics: Understanding data pipelines and management.
Applied AI & ML: Practical implementation of AI and ML concepts.
Cloud + AI @ AWS: Leveraging Amazon Web Services for AI solutions.
Java
Scripting Languages
Kotlin
ReactJs,
Method: Live Projects, Industry Use Cases, Weekly Assignments.
Integration: From Week 9 onward, AI and Technical learning will be seamlessly integrated through hands-on projects.
Project Phase + Stipend Opportunity (From Month 7)
The final phase focuses on real-world project application and potential stipend opportunities. The Training will be on-the-Job training where the candidate will be part of a project team where he/she will be working on live projects for the next 6 months.
Project Work
Nature: Team-based, real-world projects, guided by Technical and Project Managers.
Focus: Developing AI-powered solutions in domains like software development, healthcare, or operations.
Reviews & Assessments
Frequency: Monthly Evaluations.
Criteria: Assessment of both Soft Skills and Technical Grading.
Outcome: Continuous Portfolio Building, showcasing practical skills and project achievements.
Program Completion
Upon successful completion of the 12-month program, participants will receive:
Experience Letter: Certifying 1-year of industry experience.
Placement Assistance: Support with interviews, referrals, and resume building to secure employment.
Mentorship Throughout
Dedicated Project Manager providing guidance and oversight.
Hands-on support and expertise from Technical Leads.
Collaborate on live projects with small and medium enterprises (SMEs). Build a real portfolio equivalent to 3+ years of industry experience.
