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Data Science, AI & ML Highlights - Upcode Apply Now

Data Science, AI & ML Developer Course

Transform your career with Upcode's cutting-edge program designed for tech innovators.

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Program Duration

7 Months Intensive

Hands-on training with live sessions and projects.

Phase 1 (Weeks 1-8): Python, statistics, data wrangling.
Phase 2 (Weeks 9-16): ML techniques, dataset analysis.
Phase 3 (Weeks 17-28): AI topics, capstone project.

Flexible Online Schedule

Learn at your pace with 24/7 access.

Self-Paced: 100+ hours of content.
Deadlines: 2-week submission window.
Support: 24/7 mentor access.

Weekly Live Sessions

Engage with instructors and peers.

Q&A: Wednesdays at 7 PM EST.
Workshops: Bi-weekly hands-on sessions.
Networking: Monthly meetups.

Optional Accelerated Track

Finish in 5 months with intensive learning.

Duration: 5 months, 15 hours/week.
Structure: Condensed modules.
Support: Priority mentor access.

Learning Outcomes

Master Python for Data Analysis

Use Pandas, NumPy, and Matplotlib to clean, analyze, and visualize data.

Perform data cleaning and preprocessing.
Create insightful visualizations.
Analyze large datasets efficiently.

AI and ML Fundamentals

Learn supervised/unsupervised learning and neural networks.

Understand key ML algorithms.
Build basic neural networks.

Build ML Models

Create and deploy models using Scikit-learn and TensorFlow.

Train predictive models.
Deploy models to production.
Optimize model performance.

Real-World Datasets

Solve problems like customer segmentation.

Work with industry datasets.
Apply clustering techniques.

Deep Learning Techniques

Explore CNNs and RNNs for image and time-series tasks.

Build convolutional neural networks.
Process sequential data with RNNs.
Apply transfer learning.

Cloud Computing

Leverage AWS, Google Cloud, and Azure for data processing.

Deploy apps on cloud platforms.
Manage big data workflows.

Job-Ready Roles

Data Scientist

Uncover insights using statistical methods.

AI Engineer

Build AI solutions for automation.

ML Engineer

Create scalable ML models.

Data Analyst

Analyze data with SQL and Tableau.

BI Analyst

Drive decisions with analytics.

Career Impact
80% placement rate with top firms.

Projects

House Price Predictor

Regression model for house prices.

Dataset: Boston Housing.
Model: Linear regression, 85% accuracy.
Features: Square footage, bedrooms.

Image Classifier

CNN for image classification.

Dataset: CIFAR-10, 60,000 images.
Model: CNN, 78% accuracy.
Layers: 3 convolutional layers.

Market Segmentation

Clustering for marketing.

Dataset: Retail data, 10,000 entries.
Technique: K-means, 5 segments.
Outcome: 20% ROI increase.

Sentiment Analysis

NLP for text sentiment.

Dataset: 50,000 IMDb reviews.
Model: LSTM, 82% accuracy.
Application: Product feedback.

Fraud Detection

Anomaly detection for fraud.

Dataset: 100,000 transactions.
Technique: Isolation Forest.
Result: 95% detection rate.

Capstone AI Solution

End-to-end AI pipeline.

Challenge: Demand forecasting.
Approach: ARIMA, LSTM.
Impact: 10% cost reduction.

Why Choose Us?

Real-World Projects

Build a portfolio with 5+ industry projects.

Live Mentorship

Guidance from experts at top tech firms.

Vibrant Community

Collaborate with 1,000+ learners.

Relevant Curriculum

2025-standard skills for industry needs.

Job Opportunities

Connect with Google, Amazon, and more.

Certification

Earn a recognized credential.

Program Highlights

Cutting-Edge AI Training

Our program equips you with the latest tools and techniques in AI and ML, including hands-on experience with frameworks like TensorFlow and PyTorch.

Ready to Begin?

Launch Your Tech Career!

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