Publication version 2026-10-21 · Operator: PT. Data Sorcerers Indonesia · Questions: contact@data-sorcerers.com
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Certification syllabi. Beginner · Artificial Intelligence
Introduction to Artificial Intelligence AI, machine learning, and deep learning foundations. Search, decision-making, and data-driven approaches. Probability, data processing, and prediction evaluation. Algorithmic reasoning, ethics, and limitations. Assessment structure Theoretical Concepts: 10 questions, 20 points Coding Skills: 5 questions, 30 points Technical Skills: 10 questions, 20 points Critical Thinking: 5 questions, 30 points 120 minutes · undefined questions · Standard pass mark 75/100
One attempt per authorization. A certificate requires the applicable pass mark and approved integrity review. Validity: two years.
Program details Scoring methodology Beginner · Machine Learning
Beginner Machine Learning Supervised and unsupervised learning. Normalization, data splits, and leakage prevention. Regression, classification, loss functions, and gradient descent. Model evaluation, decision trees, and clustering. Assessment structure Theoretical Concepts: 10 questions, 20 points Coding Skills: 5 questions, 30 points Technical Skills: 10 questions, 20 points Critical Thinking: 5 questions, 30 points 120 minutes · undefined questions · Standard pass mark 75/100
One attempt per authorization. A certificate requires the applicable pass mark and approved integrity review. Validity: two years.
Program details Scoring methodology Beginner · Computer Vision
Beginner Deep Learning for Computer Vision Pixel representations and image preprocessing. Neural networks, convolution, activation, and pooling. Output dimensions and operations on small matrices. Image classification and evaluation. Assessment structure Theoretical Concepts: 10 questions, 20 points Coding Skills: 5 questions, 30 points Technical Skills: 10 questions, 20 points Critical Thinking: 5 questions, 30 points 120 minutes · undefined questions · Standard pass mark 75/100
One attempt per authorization. A certificate requires the applicable pass mark and approved integrity review. Validity: two years.
Program details Scoring methodology Beginner · NLP
Beginner Deep Learning for NLP Text representation, tokenization, and preprocessing. Vocabulary construction, TF-IDF, and vector similarity. Sequence modeling and attention foundations. Language evaluation and numerical interpretation. Assessment structure Theoretical Concepts: 10 questions, 20 points Coding Skills: 5 questions, 30 points Technical Skills: 10 questions, 20 points Critical Thinking: 5 questions, 30 points 120 minutes · undefined questions · Standard pass mark 75/100
One attempt per authorization. A certificate requires the applicable pass mark and approved integrity review. Validity: two years.
Program details Scoring methodology Beginner · Generative AI
Beginner Generative AI Generative models: transformers, GANs, VAEs, and diffusion. Tokens, prompting, context, and sampling. Attention, retrieval, and grounding. Generation evaluation, limitations, and responsible use. Assessment structure Theoretical Concepts: 10 questions, 20 points Coding Skills: 5 questions, 30 points Technical Skills: 10 questions, 20 points Critical Thinking: 5 questions, 30 points 120 minutes · undefined questions · Standard pass mark 75/100
One attempt per authorization. A certificate requires the applicable pass mark and approved integrity review. Validity: two years.
Program details Scoring methodology Beginner · UI/UX
Beginner UI/UX User research, usability, and interaction design. Accessibility, contrast, and readability. User-experience measurements and interpretation. Responsive interface logic through Python algorithms. Assessment structure Theoretical Concepts: 10 questions, 20 points Coding Skills: 5 questions, 30 points Technical Skills: 10 questions, 20 points Critical Thinking: 5 questions, 30 points 120 minutes · undefined questions · Standard pass mark 75/100
One attempt per authorization. A certificate requires the applicable pass mark and approved integrity review. Validity: two years.
Program details Scoring methodology Intermediate · Computer Vision
Intermediate Computer Vision Transfer learning and object detection. Bounding boxes, intersection over union, and suppression. Segmentation, Dice scores, and connected components. Error analysis and visual model selection. Assessment structure Theoretical Concepts: 10 questions, 20 points Coding Skills: 5 questions, 30 points Technical Skills: 10 questions, 20 points Critical Thinking: 5 questions, 30 points 120 minutes · undefined questions · Standard pass mark 75/100
One attempt per authorization. A certificate requires the applicable pass mark and approved integrity review. Validity: two years.
Program details Scoring methodology Advanced · Computer Vision
Advanced Computer Vision Advanced visual architectures and representations. Detection, segmentation, and geometric reasoning. Algorithmic evaluation and numerical calculations. Model efficiency and deployment trade-offs. Assessment structure Theoretical Concepts: 10 questions, 20 points Coding Skills: 5 questions, 30 points Technical Skills: 10 questions, 20 points Critical Thinking: 5 questions, 30 points 120 minutes · undefined questions · Standard pass mark 75/100
One attempt per authorization. A certificate requires the applicable pass mark and approved integrity review. Validity: two years.
Program details Scoring methodology Intermediate · NLP
Intermediate NLP Text similarity and information retrieval. Sequence decoding and structured language analysis. NLP metric calculations and interpretation. Case-based evaluation of text-processing approaches. Assessment structure Theoretical Concepts: 10 questions, 20 points Coding Skills: 5 questions, 30 points Technical Skills: 10 questions, 20 points Critical Thinking: 5 questions, 30 points 120 minutes · undefined questions · Standard pass mark 75/100
One attempt per authorization. A certificate requires the applicable pass mark and approved integrity review. Validity: two years.
Program details Scoring methodology Advanced · NLP
Advanced NLP Advanced language architectures and representations. Model adaptation and sequence-processing strategies. Mathematical evaluation of language outputs. Robustness and decisions based on evaluation evidence. Assessment structure Theoretical Concepts: 10 questions, 20 points Coding Skills: 5 questions, 30 points Technical Skills: 10 questions, 20 points Critical Thinking: 5 questions, 30 points 120 minutes · undefined questions · Standard pass mark 75/100
One attempt per authorization. A certificate requires the applicable pass mark and approved integrity review. Validity: two years.
Program details Scoring methodology Beginner · Data Science
Beginner Data Science Data structures, cleaning, and transformation. Descriptive statistics on small datasets. Exploratory analysis and visualization interpretation. Python data processing. Assessment structure Theoretical Concepts: 10 questions, 20 points Coding Skills: 5 questions, 30 points Technical Skills: 10 questions, 20 points Critical Thinking: 5 questions, 30 points 120 minutes · undefined questions · Standard pass mark 75/100
One attempt per authorization. A certificate requires the applicable pass mark and approved integrity review. Validity: two years.
Program details Scoring methodology Intermediate · Data Science
Intermediate Data Science Data preparation for analysis and modeling. Relationships between variables and model evaluation. Statistical reasoning and validation. Interpreting findings to answer data questions. Assessment structure Theoretical Concepts: 10 questions, 20 points Coding Skills: 5 questions, 30 points Technical Skills: 10 questions, 20 points Critical Thinking: 5 questions, 30 points 120 minutes · undefined questions · Standard pass mark 75/100
One attempt per authorization. A certificate requires the applicable pass mark and approved integrity review. Validity: two years.
Program details Scoring methodology Advanced · Data Science
Advanced Data Science Advanced statistics and modeling. Experiments, uncertainty, and outcome evaluation. Bayesian updates, bandits, and variance reduction. Causal reasoning and analytical trade-offs. Assessment structure Theoretical Concepts: 10 questions, 20 points Coding Skills: 5 questions, 30 points Technical Skills: 10 questions, 20 points Critical Thinking: 5 questions, 30 points 120 minutes · undefined questions · Standard pass mark 75/100
One attempt per authorization. A certificate requires the applicable pass mark and approved integrity review. Validity: two years.
Program details Scoring methodology Intermediate · Machine Learning
Intermediate Machine Learning Logistic regression and gradient updates. Balanced accuracy, ROC AUC, and threshold cost. Ensembles, feature selection, and cross-validation. Class imbalance, calibration, and model selection. Assessment structure Theoretical Concepts: 10 questions, 20 points Coding Skills: 5 questions, 30 points Technical Skills: 10 questions, 20 points Critical Thinking: 5 questions, 30 points 120 minutes · undefined questions · Standard pass mark 75/100
One attempt per authorization. A certificate requires the applicable pass mark and approved integrity review. Validity: two years.
Program details Scoring methodology Advanced · Machine Learning
Advanced Machine Learning Regularization, kernel methods, and optimization. Boosting, PCA, and gradient clipping. Calibration error and distribution shift. Robustness, uncertainty, and deployment trade-offs. Assessment structure Theoretical Concepts: 10 questions, 20 points Coding Skills: 5 questions, 30 points Technical Skills: 10 questions, 20 points Critical Thinking: 5 questions, 30 points 120 minutes · undefined questions · Standard pass mark 75/100
One attempt per authorization. A certificate requires the applicable pass mark and approved integrity review. Validity: two years.
Program details Scoring methodology Intermediate · UI/UX
Intermediate UI/UX Funnel conversion and research synthesis. RICE prioritization and card-sort agreement. Responsive grids and task-performance metrics. Experiment interpretation and accessibility trade-offs. Assessment structure Theoretical Concepts: 10 questions, 20 points Coding Skills: 5 questions, 30 points Technical Skills: 10 questions, 20 points Critical Thinking: 5 questions, 30 points 120 minutes · undefined questions · Standard pass mark 75/100
One attempt per authorization. A certificate requires the applicable pass mark and approved integrity review. Validity: two years.
Program details Scoring methodology Advanced · UI/UX
Advanced UI/UX Experiment design and pooled proportion tests. Effect sizes, multiple comparisons, and interaction contrasts. Guardrail metrics and launch decisions. Inclusive research and system-level UX evaluation. Assessment structure Theoretical Concepts: 10 questions, 20 points Coding Skills: 5 questions, 30 points Technical Skills: 10 questions, 20 points Critical Thinking: 5 questions, 30 points 120 minutes · undefined questions · Standard pass mark 75/100
One attempt per authorization. A certificate requires the applicable pass mark and approved integrity review. Validity: two years.
Program details Scoring methodology Intermediate · Generative AI
Intermediate Generative AI Diffusion forward processes and classifier-free guidance. Nucleus sampling and retrieval fusion. Grounding, context selection, and generation evaluation. Model adaptation and quality-cost trade-offs. Assessment structure Theoretical Concepts: 10 questions, 20 points Coding Skills: 5 questions, 30 points Technical Skills: 10 questions, 20 points Critical Thinking: 5 questions, 30 points 120 minutes · undefined questions · Standard pass mark 75/100
One attempt per authorization. A certificate requires the applicable pass mark and approved integrity review. Validity: two years.
Program details Scoring methodology Advanced · Generative AI
Advanced Generative AI VAE KL divergence and deterministic DDIM steps. Preference optimization and numerically stable losses. LoRA merging, memory costs, and model efficiency. Diversity, multimodal evaluation, and deployment decisions. Assessment structure Theoretical Concepts: 10 questions, 20 points Coding Skills: 5 questions, 30 points Technical Skills: 10 questions, 20 points Critical Thinking: 5 questions, 30 points 120 minutes · undefined questions · Standard pass mark 75/100
One attempt per authorization. A certificate requires the applicable pass mark and approved integrity review. Validity: two years.
Program details Scoring methodology Beginner · Data Engineer
Beginner Data Engineer Data schemas, keys, null handling, and lineage. ETL, deduplication, aggregation, and chunked processing. Throughput, completeness, joins, and storage calculations. Data validation, idempotency, and pipeline incident reasoning. Assessment structure Theoretical Concepts: 10 questions, 20 points Coding Skills: 5 questions, 30 points Technical Skills: 10 questions, 20 points Critical Thinking: 5 questions, 30 points 120 minutes · undefined questions · Standard pass mark 75/100
One attempt per authorization. A certificate requires the applicable pass mark and approved integrity review. Validity: two years.
Program details Scoring methodology Intermediate · Data Engineer
Intermediate Data Engineer Warehouse grain, dimensional models, and slowly changing dimensions. CDC, version lookup, joins, windows, and running aggregates. Join cardinality, window boundaries, partitioning, and latency. Late data, backfills, schema changes, and operational trade-offs. Assessment structure Theoretical Concepts: 10 questions, 20 points Coding Skills: 5 questions, 30 points Technical Skills: 10 questions, 20 points Critical Thinking: 5 questions, 30 points 120 minutes · undefined questions · Standard pass mark 75/100
One attempt per authorization. A certificate requires the applicable pass mark and approved integrity review. Validity: two years.
Program details Scoring methodology Advanced · Data Engineer
Advanced Data Engineer Delivery guarantees, transactions, fencing, and outbox patterns. Watermarks, TTL deduplication, CDC state, and DAG scheduling. Quorums, critical paths, recovery objectives, and capacity. Failure recovery, data contracts, and correctness under retries. Assessment structure Theoretical Concepts: 10 questions, 20 points Coding Skills: 5 questions, 30 points Technical Skills: 10 questions, 20 points Critical Thinking: 5 questions, 30 points 120 minutes · undefined questions · Standard pass mark 75/100
One attempt per authorization. A certificate requires the applicable pass mark and approved integrity review. Validity: two years.
Program details Scoring methodology Beginner · Data Analyst
Beginner Data Analyst Data types, missingness, distributions, and chart interpretation. Means, medians, category counts, conversion, and bins. Percentages, weighted summaries, and simple business metrics. Denominator choice, sampling limitations, and responsible reporting. Assessment structure Theoretical Concepts: 10 questions, 20 points Coding Skills: 5 questions, 30 points Technical Skills: 10 questions, 20 points Critical Thinking: 5 questions, 30 points 120 minutes · undefined questions · Standard pass mark 75/100
One attempt per authorization. A certificate requires the applicable pass mark and approved integrity review. Validity: two years.
Program details Scoring methodology Intermediate · Data Analyst
Intermediate Data Analyst Cohort analysis, time windows, and aggregation grain. Weighted averages, moving averages, retention, and ranking. Correlation, uncertainty, confidence intervals, and comparisons. Confounding, Simpson’s paradox, and experiment interpretation. Assessment structure Theoretical Concepts: 10 questions, 20 points Coding Skills: 5 questions, 30 points Technical Skills: 10 questions, 20 points Critical Thinking: 5 questions, 30 points 120 minutes · undefined questions · Standard pass mark 75/100
One attempt per authorization. A certificate requires the applicable pass mark and approved integrity review. Validity: two years.
Program details Scoring methodology Advanced · Data Analyst
Advanced Data Analyst Intent-to-treat, selection bias, and difference-in-differences. Multiple testing, stratification, and CUPED variance reduction. Effect estimates, ratio variance, and quantitative guardrails. Causal assumptions, sequential decisions, and analytical validity. Assessment structure Theoretical Concepts: 10 questions, 20 points Coding Skills: 5 questions, 30 points Technical Skills: 10 questions, 20 points Critical Thinking: 5 questions, 30 points 120 minutes · undefined questions · Standard pass mark 75/100
One attempt per authorization. A certificate requires the applicable pass mark and approved integrity review. Validity: two years.
Program details Scoring methodology Beginner · Bioinformatics
Beginner Bioinformatics DNA alphabets, complements, codons, and sequence file formats. GC content, reverse complements, k-mers, and Hamming distance. Phred quality, sequence identity, depth, and read summaries. Ambiguous bases, sample traceability, and evidence limitations. Assessment structure Theoretical Concepts: 10 questions, 20 points Coding Skills: 5 questions, 30 points Technical Skills: 10 questions, 20 points Critical Thinking: 5 questions, 30 points 120 minutes · undefined questions · Standard pass mark 75/100
One attempt per authorization. A certificate requires the applicable pass mark and approved integrity review. Validity: two years.
Program details Scoring methodology Intermediate · Bioinformatics
Intermediate Bioinformatics Global and local alignment principles and scoring. Needleman-Wunsch, coverage intervals, CPM, and allele fractions. Coordinate conversion, fold changes, alignment scores, and depth. Replicates, batch confounding, reference versions, and variant evidence. Assessment structure Theoretical Concepts: 10 questions, 20 points Coding Skills: 5 questions, 30 points Technical Skills: 10 questions, 20 points Critical Thinking: 5 questions, 30 points 120 minutes · undefined questions · Standard pass mark 75/100
One attempt per authorization. A certificate requires the applicable pass mark and approved integrity review. Validity: two years.
Program details Scoring methodology Advanced · Bioinformatics
Advanced Bioinformatics Affine gaps, local alignment, phylogeny, and count variability. Smith-Waterman, BH adjustment, TPM, and Hardy-Weinberg expectations. Likelihood ratios, posterior odds, and multiple-testing calculations. Biological leakage, reproducibility, uncertainty, and interpretation limits. Assessment structure Theoretical Concepts: 10 questions, 20 points Coding Skills: 5 questions, 30 points Technical Skills: 10 questions, 20 points Critical Thinking: 5 questions, 30 points 120 minutes · undefined questions · Standard pass mark 75/100
One attempt per authorization. A certificate requires the applicable pass mark and approved integrity review. Validity: two years.
Program details Scoring methodology Beginner · Speech Recognition
Beginner Deep Learning for Speech Recognition Sampling, framing, spectrograms, transcripts, and acoustic models. RMS, pre-emphasis, frame counts, and greedy CTC collapse. Audio duration, Nyquist frequency, WER, and real-time factor. Speaker splits, noise conditions, and transcript normalization. Assessment structure Theoretical Concepts: 10 questions, 20 points Coding Skills: 5 questions, 30 points Technical Skills: 10 questions, 20 points Critical Thinking: 5 questions, 30 points 120 minutes · undefined questions · Standard pass mark 75/100
One attempt per authorization. A certificate requires the applicable pass mark and approved integrity review. Validity: two years.
Program details Scoring methodology Intermediate · Speech Recognition
Intermediate Deep Learning for Speech Recognition Mel features, CTC alignments, beam search, and augmentation. Word edit distance, filterbanks, convolution frames, and fusion. CTC path probabilities, corpus WER, normalization, and SNR. Subsampling constraints, rare names, multilingual slices, and decoding errors. Assessment structure Theoretical Concepts: 10 questions, 20 points Coding Skills: 5 questions, 30 points Technical Skills: 10 questions, 20 points Critical Thinking: 5 questions, 30 points 120 minutes · undefined questions · Standard pass mark 75/100
One attempt per authorization. A certificate requires the applicable pass mark and approved integrity review. Validity: two years.
Program details Scoring methodology Advanced · Speech Recognition
Advanced Deep Learning for Speech Recognition CTC forward recursion, log-space scoring, and bounded lookahead. Endpoint detection, chunk scheduling, and diarization metrics. Minimum alignment length, tail latency, calibration, and error ratios. Streaming trade-offs, accent robustness, and authorized speech data use. Assessment structure Theoretical Concepts: 10 questions, 20 points Coding Skills: 5 questions, 30 points Technical Skills: 10 questions, 20 points Critical Thinking: 5 questions, 30 points 120 minutes · undefined questions · Standard pass mark 75/100
One attempt per authorization. A certificate requires the applicable pass mark and approved integrity review. Validity: two years.
Program details Scoring methodology Beginner · Generative AI LLM
Beginner Generative AI LLM Tokenization, autoregression, causal masks, and instruction tuning. Context budgeting, top-k selection, temperature softmax, and token counts. Sequence probabilities, attention positions, support fractions, and throughput. Hallucinations, untrusted instructions, evidence, and evaluation leakage. Assessment structure Theoretical Concepts: 10 questions, 20 points Coding Skills: 5 questions, 30 points Technical Skills: 10 questions, 20 points Critical Thinking: 5 questions, 30 points 120 minutes · undefined questions · Standard pass mark 75/100
One attempt per authorization. A certificate requires the applicable pass mark and approved integrity review. Validity: two years.
Program details Scoring methodology Intermediate · Generative AI LLM
Intermediate Generative AI LLM Embeddings, reranking, document permissions, and grounding. Cosine retrieval, reciprocal rank fusion, chunking, and nucleus sampling. Perplexity, recall, LoRA parameter counts, and context allocation. False citations, duplicate evidence, tokenizer comparability, and adaptation limits. Assessment structure Theoretical Concepts: 10 questions, 20 points Coding Skills: 5 questions, 30 points Technical Skills: 10 questions, 20 points Critical Thinking: 5 questions, 30 points 120 minutes · undefined questions · Standard pass mark 75/100
One attempt per authorization. A certificate requires the applicable pass mark and approved integrity review. Validity: two years.
Program details Scoring methodology Advanced · Generative AI LLM
Advanced Generative AI LLM KV caching, grouped-query attention, quantization, and continuous batching. LoRA merging, stable DPO loss, and speculative acceptance. Cache memory, quantization arithmetic, latency, and calibration. Serving fairness, factuality guardrails, distribution shift, and held-out evaluation. Assessment structure Theoretical Concepts: 10 questions, 20 points Coding Skills: 5 questions, 30 points Technical Skills: 10 questions, 20 points Critical Thinking: 5 questions, 30 points 120 minutes · undefined questions · Standard pass mark 75/100
One attempt per authorization. A certificate requires the applicable pass mark and approved integrity review. Validity: two years.
Program details Scoring methodology Beginner · Generative AI Multimodal
Beginner Generative AI Multimodal Image patches, paired data, shared embeddings, OCR, and grounding. Vector fusion, dot-product retrieval, timestamp matching, and caption overlap. Patch and token counts, video sampling, and visual-question accuracy. Modality evidence, blurry inputs, alignment errors, and untrusted embedded text. Assessment structure Theoretical Concepts: 10 questions, 20 points Coding Skills: 5 questions, 30 points Technical Skills: 10 questions, 20 points Critical Thinking: 5 questions, 30 points 120 minutes · undefined questions · Standard pass mark 75/100
One attempt per authorization. A certificate requires the applicable pass mark and approved integrity review. Validity: two years.
Program details Scoring methodology Intermediate · Generative AI Multimodal
Intermediate Generative AI Multimodal Cross-attention, in-batch negatives, normalized retrieval, and late fusion. Box and temporal IoU, masked softmax, contrastive loss, and weighted attention. Similarity margins, retrieval ranks, attention dimensions, and masks. False negatives, missing modalities, OCR slices, and modality shortcuts. Assessment structure Theoretical Concepts: 10 questions, 20 points Coding Skills: 5 questions, 30 points Technical Skills: 10 questions, 20 points Critical Thinking: 5 questions, 30 points 120 minutes · undefined questions · Standard pass mark 75/100
One attempt per authorization. A certificate requires the applicable pass mark and approved integrity review. Validity: two years.
Program details Scoring methodology Advanced · Generative AI Multimodal
Advanced Generative AI Multimodal Modality collapse, reliability gating, ablations, and grounding protocols. Dynamic time warping, token-budget optimization, and margin losses. Inverse-variance fusion, attention costs, and group-weighted evaluation. Correlated errors, contradictory evidence, near-duplicate leakage, and compute trade-offs. Assessment structure Theoretical Concepts: 10 questions, 20 points Coding Skills: 5 questions, 30 points Technical Skills: 10 questions, 20 points Critical Thinking: 5 questions, 30 points 120 minutes · undefined questions · Standard pass mark 75/100
One attempt per authorization. A certificate requires the applicable pass mark and approved integrity review. Validity: two years.
Program details Scoring methodology Beginner · AI Engineer
Beginner AI Engineer Training versus inference, input schemas, and reproducible model deployments. Python data transforms, score updates, prediction errors, context selection, and service metrics. Precision, recall, cosine similarity, MSE, throughput, latency, and token-cost calculations. Retrieval-augmented generation, context budgets, private API keys, and idempotent retries. Cost-aware thresholds, subgroup evaluation, input drift, and latency bottleneck reasoning. Assessment structure Theoretical Concepts: 10 questions, 20 points Coding Skills: 5 questions, 30 points Technical Skills: 10 questions, 20 points Critical Thinking: 5 questions, 30 points 120 minutes · undefined questions · Standard pass mark 75/100
One attempt per authorization. A certificate requires the applicable pass mark and approved integrity review. Validity: two years.
Program details Scoring methodology Professional · Product Development & Management
Product Development and Management Product strategy, customer discovery, jobs to be done, and outcome-led roadmaps. Prioritization, MVP validation, lifecycle decisions, and cross-functional delivery. Experiment design, causal reasoning, metrics, segmentation, and decision bias. Conversion, retention, expected value, capacity, contribution, and break-even analysis. Case-based launch, pricing, marketplace, accessibility, reliability, and AI risk decisions. Assessment structure Theoretical Concepts: 15 questions, 30 points Critical Thinking: 15 questions, 30 points Problem Solving: 10 questions, 20 points Use Cases: 10 questions, 20 points 120 minutes · undefined questions · Standard pass mark 75/100
One attempt per authorization. A certificate requires the applicable pass mark and approved integrity review. Validity: two years.
Program details Scoring methodology 
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