NEW AGE SOFTWARE ENGINEERING PROGRAM
Course Overview:
Elevate your software engineering prowess. Learn to build intelligent applications,
deploy scalable cloud solutions, and integrate Generative AI for unparalleled
innovation. Drive your career forward with a robust portfolio built from hands-on
labs simulating real-world AI development and cloud deployments. Secure your
place as a high-impact software engineering professional, ready to lead with
data-driven strategies and build intelligent digital products.
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Program Fee
Rs ₹60,000 + GST
Available Seats
300
Schedule
Saturday & Sunday (7 months)
Only Few Seats Left
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Module 1
Generative-AI Foundations & Prompt Craft
- Grasping the fundamental architecture behind large language models
- Zero-shot, few-shot, and chain-of-thought prompting for improved model responses
- Using role personas, and formatting outputs with JSON/Markdown.
- Understanding token budgeting, latency considerations, and cost implications
- Introduction to basic safety filters in generative AI
Module 2
Production-Grade AI Engineering Fundamentals
- Managing the lifecycle of AI models and version control.
- Implementing regression tests and continuous evaluation for AI models.
- Setting up tracing, metrics, and alerting for AI systems.
- Establishing guardrails and policy layers for ethical and safe AI deployment.
Module 3
Serverless & Edge AI Deployments
- Exploring Cloudflare Workers, AWS Lambda, and Vercel Functions for AI deployment.
- Implementing secrets rotation and authentication mechanisms.
- Handling streaming data, retries, and webhooks for dynamic AI services.
- Understanding autoscaling and mitigating cold-start issues.
- Building dashboards to monitor cost and latency of deployed AI services.
Module 4
Community Models & Custom Fine-Tuning
- Navigating resources like Hugging Face and PapersWithCode for model discovery.
- Performing local inference with Ollama and GGUF models.
- Utilizing Transformers.js and WebGPU for in-browser AI applications.
- Implementing LoRA (Low-Rank Adaptation) and QLoRA for custom model tuning.
- Understanding the legal and ethical considerations of open models.
Module 5
Knowledge Retrieval & Semantic Memory
- Techniques for chunking and creating effective text embeddings.
- Working with vector databases like pgvector, Pinecone, and Weaviate.
- Combining hybrid keyword and vector search for comprehensive retrieval.
- Establishing safety and quality controls for RAG systems.
- Understanding recall, precision, and Mean Reciprocal Rank (MRR) for retrieval systems.
Module 6
AI Agents & Agentic Workflows
- Understanding ReAct (Reasoning and Acting) and Plan-Act-Reflect loops.
- Using JSON-schema for function calling and managing tool registries.
- Implementing reflection, retries, and guardrails for robust agent behavior.
- Coordinating multiple agents using frameworks like CrewAI and LangGraph.
- Ensuring agents adhere to predefined output formats.
Module 7
Vision-Enabled & Multisensory AI
- Understanding prompt styles and generation techniques for diffusion models.
- Exploring capabilities like image captioning and Optical Character Recognition (OCR).
- Implementing image editing and in-painting chains for creative AI applications.
- Utilizing describe, generate, refine workflows for visual AI.
- Discussing NSFW detection, watermarking, and adversarial risks in visual AI
Module 8
Capstone Sprint
- Comprehensive review of solution architecture and design.
- Integrating components like vector databases, AI agents, and a streaming user interface.
- Optimizing the solution for performance and cost efficiency.
- Ensuring the solution meets observability and regulatory compliance standards.
- Preparing the solution for live demonstration and presentation.
NEWS & UPDATES
Career Transitions
55% Average Salary Hike
$1,27,000 Highest Salary
800+ Career Transitions
300+ Hiring Partners
Who Can Apply for the Course?
- Anyone with a passion for building a career in New Age Software Engineering
- For Software Architects & Lead Engineers
- For Aspiring AI/ML Software Engineers & MLOps Specialists
- For Early Career Software Engineers
- For Emerging Student Innovators & Project-Based Learners
About Program
This program by iHub Divya Sampark, IIT Roorkee helps you gain the data analytics, machine learning, and artificial intelligence skills sought after by top employers.
Key Highlights
Our Alumni Work At
What is included in this course?
- Non-biased career guidance
- Counselling based on your skills and preference
- No repetitive calls, only as per convenience
- Rigorous curriculum designed by industry experts
- Complete this program while you work
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