AI Solution Developer

Designs, develops and deploys end-to-end AI/ML solutions and applications.

⏱5 Months Duration

🏛️QP Code: SSC/Q8108

🏫Instructor: Khushi

📅 Next batch: 1 July 2026·⚡ Limited seats — register early

About This Course

Designs, develops and deploys end-to-end AI/ML solutions and applications.

🏛️NASSCOM / IT-ITeS SSC Certified

✅Government Recognised Certificate

⏱5 Months Program

💼Placement Support Included

📈Min 70% per NOS to Pass

🏫Live Projects & Portfolio

Course Curriculum

SSC/Q8108 · NSQF Level 6 · Assessment: Minimum 70% per technical NOS module.

ML pipeline from scratch: data collection → EDA → preprocessing → model selection → training → evaluation
Advanced ML: ensemble methods (XGBoost, LightGBM, CatBoost, Stacking)
Deep Learning: CNN architectures (VGG, ResNet); LSTM/GRU; Transformers (BERT, GPT basics)
Hyperparameter tuning: Bayesian optimization, Optuna

Designing AI-powered applications: requirements, architecture, data flow
Building REST APIs for ML models: FastAPI/Flask; input validation; response schemas
Integrating AI models into web and mobile applications; LLM integration: OpenAI/Anthropic APIs; RAG basics

NLP pipeline: tokenization, text cleaning, embeddings (Word2Vec, GloVe, BERT)
Sentiment analysis, text classification, NER, question answering
Computer Vision: object detection (YOLO, Faster R-CNN); image segmentation; OCR; multi-modal AI

Model serving: TensorFlow Serving, TorchServe; Docker; Kubernetes basics
Cloud AI services: AWS SageMaker, Azure ML, Google Vertex AI
MLOps: CI/CD for ML; experiment tracking (MLflow, W&B); model monitoring; drift detection

Model compression: quantisation, pruning, knowledge distillation; latency optimisation; AI solution architecture review

Key Learning Outcomes

ML and deep learning model development (XGBoost, CNN, Transformer)
REST APIs for AI (FastAPI/Flask)
NLP (BERT, NER)
CV (YOLO, segmentation)
Docker, Kubernetes, cloud AI (SageMaker/Vertex AI)
MLOps
RAG
LLM integration

Tools & Technologies

Python TensorFlow/PyTorch scikit-learn FastAPI/Flask REST APIs Docker Kubernetes AWS SageMaker/Azure ML/GCP Vertex AI MLflow

Career Progression

AI Engineer

AI Solutions Architect

Frequently Asked Questions

What is AI Solution Developer and who is it for?

AI Solution Developer is a NASSCOM-certified course offered at White Banger Academy, Kaithal. It is designed for students, fresh graduates, and working professionals who want a government-recognised IT qualification to enter or grow in the technology sector.

Is NASSCOM certification valuable for jobs?

Yes. NASSCOM certifications are recognised by the Government of India and accepted by 500+ hiring partners across India. They are listed under the National Skill Qualification Framework (NSQF) and carry significant weight in IT hiring.

What is the course fee and are EMI options available?

Course fees depend on the batch and duration. White Banger offers flexible payment options including EMI. Please fill our enquiry form or WhatsApp us at +91 97283-20132 for the current fee structure.

Do you provide placement assistance after the course?

Yes. White Banger provides 100% placement support including resume building, mock interviews, and connections to our 500+ hiring partner network. Our placement rate is 92%.

What are the eligibility criteria and batch timings?

Most NASSCOM courses require Class 10 or 12 completion. Batches run in morning and evening slots (Monday to Saturday). The next batch starts 1 July 2026 — seats are limited, so early registration is recommended.